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 contributor to our team, you will, under limited supervision, apply extensive knowledge of principles, advanced techniques, and theories to conduct theoretical and empirical research with public and proprietary data 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. THE IMPACT YOU WILL MAKE The Model Governance and Validation QA Advisor 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: Maintain a validation quality assurance framework to ensure model validation teams complete model validation activities commensurate with requirements established in enterprise model risk policy, standards, and procedures Perform quality assurance reviews and recommend solutions for compliance with internal policies, standards, and procedures and regulatory guidance. Complete quality assurance reviews and other quality assurance-related program elements across model risk teams, 2nd line functions, and other stakeholders Maintain and report comprehensive program metrics and key performance indicators to colleagues and senior leaders. Provide support for governance activities, including policy, standard, procedure, job aid, and template updates; reporting; training; and cross-functional coordination. 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. Provide innovative, thorough, and practical solutions that support business strategies and initiatives. Perform ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python. Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance. Counsel teams on company policies and industry-wide modeling practices. Inform the team's direction for validation or testing strategies to monitor performance, and assess risks. Communicate technical subject matter clearly and concisely to team leadership and internal/external stakeholders both verbally and through written communication. Foster a culture of continuous improvement and quality excellence.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level