Manager, Loss Forecasting Models

The Manager, Loss Forecasting Models leads the development, governance, and enhancement of advanced forecasting models for retail credit portfolios. The role applies statistical, machine learning, and AI methodologies to improve loss forecasting accuracy and business decision-making. Responsibilities include designing and implementing loss forecasting models, overseeing the full model lifecycle (data extraction, feature engineering, training, validation, benchmarking, deployment), ensuring governance and regulatory compliance (e.g., SR 11-7, IFRS 9 / CECL), analyzing large datasets with Python, SAS, and SQL, monitoring model performance (PSI, KS, AR, calibration, back-testing), and engaging senior stakeholders across Risk, Finance, Product, Strategy, and Model Risk Management. The position emphasizes leadership, mentorship of junior analysts, documentation, and governance, with a focus on scalability, reproducibility, and transparent model governance. Qualifications emphasize a strong quantitative background, hands-on programming, and experience in bank/financial settings, including familiarity with model risk management and regulatory expectations. Salary range listed is $82,800.00 - $154,800.00 with salaried pay type; compensation may include incentives and benefits. Location noted as Toronto, ON, Canada (Canada). This role requires advanced modeling expertise, cross-functional collaboration, and the ability to translate complex modeling outputs into actionable business insights.