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Added 4 days ago
Software Engineer I Co-op (Data Foundations)
Planview Incorporated
Vancouver, BC
Temporary
Learn and apply GenAI-powered developer tools (GitHub Copilot, Claude Code) to accelerate development and gain experience with AI-assisted programming
Added 4 days ago
Software Engineer I Co-op (FlowPlatform Team)
Planview Incorporated
Vancouver, BC
Collaborate with team members to identify opportunities for automation, self-service tooling, and improved developer experiences.
Added 4 days ago
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
…driving innovation, implementing cloud capabilities, and building GenAI solutions. The ideal candidate has a passion for cutting-edge technologies and a proven track record of building…
Added 4 days ago
GenAI Python Developer
Synechron
Montreal, QC
$80,000 to $90,000 CAD / year
Full-time
We are looking for a skilled GenAI Python Developer with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python API development, and databases. The ideal candidate…
Added 5 days ago
GenFX Lead
Eyeline
Vancouver, BC
$132,000 to $170,000 CAD / year
Full-time
Optimize GenAI and compositing workflows for speed and consistency, identifying bottlenecks in the hybrid-VFX pipeline
Added 5 days ago
GenFX Supervisor
Eyeline
Vancouver, BC
$195,000 to $270,000 CAD / year
Full-time
…hybrid pipelines, setting quality standards and ensuring every GenAI augmented shot and sequence meets the highest standards. The Supervisor acts as the key liaison between Show Supervisors…
Added 5 days ago
Financial Crime Data Scientist
Desjardins
Montreal, QC
Full-time
…context of technological transformation (progressive adoption of GenAI, Azure, Databricks), our team is also continuing to evolve its analytical capabilities by focusing on advanced…
Added 5 days ago
Python Developer
Dexian
Mississauga, ON
Other
…building and supporting modern software solutions leveraging Python, microservices, APIs, event-driven architectures, and emerging AI…
Added 5 days ago
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
Full-time
Added 5 days ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
…programming languages such as TypeScript, JavaScript, Java, Python, or C#, and are eager to grow your expertise in test automation and software…
Added 5 days ago
Test Automation Engineer
Accenture
Mississauga, ON
Full-time
…programming languages such as TypeScript, JavaScript, Java, Python, or C#, and are eager to grow your expertise in test automation and software…
Added 5 days ago
Credit Risk Manager
Pwc Canada
Toronto, ON
Full-time
Developing GenAI and agentic AI tools and solutions to deliver enhanced client experiences and internal productivity
Added 5 days ago
Credit Risk Manager
PwC Canada
Toronto, ON
Full-time
Developing GenAI and agentic AI tools and solutions to deliver enhanced client experiences and internal productivity
Added 6 days ago
Senior AI Engineer
CI Financial
Toronto, ON
Full-time
You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.
Added 6 days ago
Quality Engineer III
TD
Toronto, ON
Full-time
Leverage AI/GenAI capabilities to enhance test coverage and efficiency
Added 6 days ago
Generative AI Cloud Operations Engineer - Evinova
Evinova
Mississauga, ON
Full-time
Develop and manage GenAI Ops systems for clinical trial design, planning and operational optimization.
Added 6 days ago
AI Architect, Manager
Avanade
Toronto, ON
Full-time
…home or around the globe, to provide successful and accessible GenAI solutions that solve client…
Added 6 days ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
Develop and manage GenAI Ops systems for clinical trial design, planning and operational optimization.
Added 13 days ago
Developer - Data, AI, Platform & Support
BMO
Toronto, ON · FCP
Full-time
Experience with SQL, NoSQL, Python , Spark/PySpark, Scala.
Added 9 days ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Ottawa, ON · Toronto, ON · Montreal, QC
Full-time
Develop architectural roadmaps for deploying AI initiatives, including generative AI (GenAI), LLMs, and agentic business processes.
Added 11 days ago
Data Analyst - Portfolio Reporting, Real Estate Debt
QuadReal Property Group
Vancouver, BC
Full-time
…similar planning tool is an asset. Experience with Tableau or Python is considered a…
Added 1 month ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
Full-time
Develop architectural roadmaps for deploying AI initiatives, including generative AI (GenAI), LLMs, and agentic business processes.
Added 1 month ago
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
Develop architectural roadmaps for deploying AI initiatives, including generative AI (GenAI), LLMs, and agentic business processes.
Added 8 days ago
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
$168,960 to $188,776.5 CAD / year
Full-time
Develop cutting-edge GenAI and LLM applications powered by reinforcement learning to optimize content across marketing channels.
Added 8 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
Design, build, and ship production-grade GenAI/LLM applications across Hygiena products including SureTrend - copilots, conversational agents and assistants, workflow automation, and…

Closed listing

Data Scientist II (Credit Risk and Product)

Toronto, ON, Canada

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Closing date: Oct 21, 2026
Experience: 2+ years of experience performing advanced analytics or data science, ideally for credit lending products.
Posting language: English
Posted: Sep 21, 2026

This opening has closed.

The original listing is kept below for reference.

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Original job description

Archived listing. The details below describe a past opening.

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line Of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Overview:

Within CPB (Canadian Personal Banking), the Analytics, Insights and Artificial Intelligence team supports the day-to-day activities of the CPB businesses by providing consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. We work with business partners to address their analytics needs by providing end-to-end support of data, reporting, analytics, insights, and artificial intelligence solutions.

Job Description:

The Data Scientist II will report to the Senior Manager, Data Science for Cards Product & Credit Strategy Analytics. You will be part of a team that supports optimization of credit card adjudication strategies as well as all credit card product and pricing initiatives.

Key Accountabilities Include:

Develop credit strategies, including, adjudication and account management for TD & MBNA Cards and Personal Lending products, ensuring adequacy of risk and return through comprehensive data analysis leveraging machine learning techniques.
Support new credit strategy development with advanced analytics and data science.
Identify and manage credit and other associated risks related to Cards & Personal Lending Acquisition and Account Management.
Undertake and complete a variety of complex analytic projects and initiatives requiring specialist knowledge and/or integration of cross functional processes.
Produce insights and recommend business actions to support business strategy and/or solve business problems.
Identify and recommend opportunities and drive initiatives that provide financial value supporting the business strategy.

Required Qualifications:

Graduate or undergraduate degree in quantitative discipline such as management analytics, statistics, mathematics, operations research, economics, computer science, or engineering
2+ years of experience performing advanced analytics or data science, ideally for credit lending products.
Experience in financial services industry with broad understanding of credit strategy, risk management, product management and analytics.
Highly skilled in coding SQL, and Python/PySpark.
Strong interpersonal, communication and presentation skills, with the ability to create and articulate a compelling business case to senior management and other stakeholders.
Strong analytical and problem-solving skills.
A strong focus on attention to detail to produce high quality, accurate and timely deliverables to meet deadlines.
Ability to prioritize competing requests / multiple tasks in a deadline driven environment.
Creative problem solver, self-starter, resourceful in getting things done.
Machine Learning & AI: Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference. Familiarity with generative AI (GenAI), large language models (LLMs), and statistical inferencing

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec Only):

Sans Objet

About employer

More about this job

Responsibilities

Develop and optimize credit card adjudication and account management strategies using machine learning and advanced data analysis. Provide consultative support and actionable insights to guide strategic planning and business decision-making for Canadian Personal Banking.

Requirements

Requires a graduate or undergraduate degree in a quantitative discipline and at least 2 years of experience in advanced analytics or data science. Candidates must be highly skilled in SQL and Python/PySpark with a strong understanding of credit strategy and risk management.

Skills

SQL
Python
PySpark
Machine learning
Credit risk
Data science
Statistical inferencing
Financial services
Risk management
Product management
Data analysis
Communication
Problem-solving
Generative AI
Large language models
Causal inference

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Credit Risk
SQL
Python
PySpark
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Causal Inference
Generative AI
LLMs
Statistical Inferencing
Financial Services
Risk Management
Product Management
Analytics
Data Analysis
Credit Strategy
Banking
Personal Lending
Adjudication
Strategic Planning
Quantitative Analysis
Management Analytics
Statistics
Mathematics
Operations Research
Economics
Computer Science

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