Use SQL and analytics in Toronto to shape credit strategies for TD’s retail risk management business. Turn portfolio insights into decisions.
As a Data Scientist, you’ll support MBNA and other credit card portfolios through analytics, strategic thinking, and stakeholder collaboration. You’ll solve business problems while balancing growth, profitability, customer experience, and risk appetite. The work spans Product, Fraud, Technology, Operations, and Model Development.
Key Responsibilities: Own portfolio, strategy, or business problem areas end-to-end
Design, implement, monitor, and optimize credit strategies
Translate complex data into compelling recommendations
Challenge assumptions about performance, risks, and strategic initiatives




Evaluate models, tools, and capabilities for credit decisioning
Requirements: Strong SQL skills with large, complex datasets
Experience using analytics to solve business problems
Credit Risk, Retail Banking, or Financial Services experience
Undergraduate degree in a quantitative discipline
Robust stakeholder engagement and communication skills
Apply your SQL, credit risk, and analytical judgment to improve TD portfolio outcomes and influence strategic decisions.

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📌 Credit Risk Data Scientist (Ontario)
🏢 The Toronto-Dominion Bank (Canada)
📍 Ontario