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
- Strong stakeholder engagement and communication skills
Apply your SQL, credit risk, and analytical judgment to improve TD portfolio outcomes and influence strategic decisions.
Credit Risk Data Scientist in Toronto employer: TD Bank Group
TD Bank Group is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of Payments Modernization. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, all while being part of a leading financial institution located in the vibrant city of Toronto.
