Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued colleague on our team, you will support the oversight of theoretical and empirical research in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models, including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing. In this role, you will help manage and perform analytics and reporting functions supporting model governance and risk management. THE IMPACT YOU WILL MAKE The Model Risk Reporting Data Analyst Lead role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Assist team in the identification and reporting of existing and emerging model risks that stem from business activities, internal processes, and changes in the financial services industry, regulatory compliance, or other external environmental factors. Work closely with relevant stakeholders to understand all aspects of the workflow processes managed for model validation, model performance monitoring, and model issue management and generate recommendations for identified patterns. Ensure risks associated with business activities are effectively identified, measured, monitored, reported, mitigated, and controlled. Participate in producing qualitative and quantitative analyses for project management and executive-level reports to provide a strategic view of model risk to key stakeholders; design, implement, and maintain an inventory of processes, controls, metric framework and dashboards supporting portfolio and business process assessments. Collaborate on technology solutions to facilitate accurate and comprehensive data capture for compilation, processing, and interpretation required in regular and ad hoc reporting to stakeholders, executive leadership teams, and regulators. Provide innovative thorough, and practical solutions that improve business performance and support business strategies and initiatives. Oversee all phases of SDLC for managed applications. Apply understanding of relevant business context to interpret results, monitor performance, and assess risks, which may include the application of mathematic, statistical, and econometric techniques. Perform ad hoc quantitative analyses, modeling, or programming using Tableau, SAS, SQL, R, or Python. Foster a culture of continuous improvement and quality excellence.