• Lead loss forecasting by leveraging data science models and applying business overlays to project portfolio performance. • Monitor and analyze credit metrics across multiple loan products, identifying key risks, trends, and opportunities. • Prepare and present portfolio forecasts and credit/fraud performance updates to executives, the Board, and rating agencies. • Validate and challenge credit and fraud risk models to ensure methodological soundness, transparency, and regulatory compliance. • Partner cross-functionally with Finance, Capital Markets, and Data Science to align risk insights with business strategy.