Join TD's U.S. Non-Retail Model Development team as a Senior Quantitative Analytics Analyst in Toronto. Leverage advanced analytics and programming skills to develop credit risk methodologies and forecasting models.
In this senior role, you will enhance and implement credit risk parameter models for U.S. Commercial portfolios. Key skills include quantitative analysis, programming in Python and SQL, and familiarity with credit risk frameworks such as LGD and EAD. This position offers substantial learning opportunities within a highly motivated team, focusing on regulatory compliance and model risk management.
Key Responsibilities:
• Design and develop Point-in-Time PD and LGD models
• Conduct quantitative analysis for model performance




• Enhance forecasting methodologies and stress testing frameworks
• Analyze U.S. Commercial portfolio characteristics
• Prepare technical documentation and stakeholder presentations
Requirements:
• Graduate degree in Statistics, Mathematics, or Data Science
• Experience in credit risk modeling and loss forecasting
• Solid programming skills in Python and SQL
• Familiarity with machine learning or AI-enabled tools
• Excellent communication and analytical capabilities
Utilize your expertise in credit risk and forecasting to influence financial decisions at TD.
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📌 Senior Analyst in Credit Risk Modeling (Toronto)
🏢 TD
📍 Toronto