Job Description As a valued contributor to our team, you will 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 Validator - 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: * Apply mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives, and conduct 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 and/or resolve complex or unusual business issues. * Integrate established company policies and industry-wide modeling practices into department processes. Ensure compliance across modeling projects. * Design and execute effective validation or testing of models and assess the quality and risk of model methodologies, inputs, outputs, and processes. Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks. * Communicate technical subject matter to senior management and project stakeholders clearly and concisely, both verbally and through written communication, such as whitepapers or review reports. Qualifications *THE EXPERIENCE YOU BRING TO THE TEAM* Minimum Required Experiences * 6 years of relevant work experience, including developing or validating quantitative models. * Bachelor degree or equivalent in a quantitative field such as Economics, Finance, Statistics, Mathematics, Computer Science, and Engineering. Desired Experiences * PhD in Economics w/ Econometrics focus, Applied Finance, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative discipline. * Experience with retail loan products, home mortgage products preferred. * Experience in working with huge datasets. * Work experience at a large financial institution (SIFI or GSIB). * Experience with model risk framework and oversight. * Experience in econometrics, statistical inference and/or financial mathematics, including time series forecasting, stochastic processes, hypothesis testing and causal inference. * Expertise with machine learning and other modern modeling techniques including the use of big/unstructured data. * Familiarity with the broader AI/ML landscape, including new development in AI/ML. Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.