Lead AI risk assessments, reviews, and monitoring to support AI governance at a financial institution. Evaluate internal and third-party AI solutions, maintain an enterprise AI inventory, analyze controls and risk metrics, build dashboards and reports, and provide quantitative and advisory support across stakeholders to enable responsible AI adoption and regulatory readiness.

Develop and enhance quantitative financial models supporting Treasury, asset liability management, interest-rate risk, mortgage hedging, pricing, profitability, and portfolio risk decisions. Analyze fixed income, derivatives, duration, convexity, stress scenarios, deposits, and prepayments. Automate workflows with Python and Excel/VBA, modernize analytics in Snowflake, document model governance, and communicate insights to Treasury, Risk, Credit, Product, and portfolio leaders.

Develops, calibrates, validates, and maintains credit risk models, including PD, LGD, and EAD models, for lending, collections, loss forecasting, capital planning, and stress testing. Analyzes large datasets, evaluates model performance, documents model changes, supports systems testing, and communicates statistical insights to stakeholders and management. Collaborates across the credit union to improve risk-return strategies and reporting.