Teams at Fannie Mae

Conduct theoretical and empirical research in mortgage finance; develop and validate statistical, econometric, and predictive models; analyze large structured and unstructured datasets using Python/SAS/R/SQL; implement model validation and testing; interpret results within business context; communicate findings to technical and non-technical stakeholders; collaborate with cross-functional teams and apply new technologies including AI to improve analytics and business performance.

Serve as Product Owner for Audit AI, analytics, and data products: define vision, roadmap, PI plan and backlog; lead discovery with stakeholders; write features, user stories, acceptance criteria and data/process requirements; document business cases, process flows, governance routines, and control requirements; monitor product performance, adoption, training, and outcomes to drive continuous enhancement and compliance with AI governance and audit standards.

Partner with Enterprise Technology leaders to manage budgeting, forecasting, variance analysis, and financial reporting. Validate and transform financial data, perform scenario and trend analysis, prepare management and executive reporting, support long-range planning, and deliver actionable insights to optimize resource allocation and strategic decision-making.