Job Description As part of the 3rd Line of Defense within the internal audit, you will, under limited supervision, conduct effective challenges for enterprise-wide models and model risk management framework, covering 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

　　Senior Model Risk Quantitative Analyst

　　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 moderately complex mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives. Conduct or assess 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.

　　Apply independent thinking to complete model audit projects aligned with established audit procedures and industry-wide modeling practices and model risk management practices.

　　Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes. Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.

　　Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or workpapers.

　　Qualifications THE EXPERIENCE YOU BRING TO THE TEAM

　　Required Experience

　　2 years of relevant experience in the three lines of defense for model risk management

　　Bachelor’s degree required; Masters degree is strongly preferred

　　Area of study in a quantitative field such as Mathematics, Statistics, or Financial Engineering

　　Desired Experience

　　PhD or other advanced degree in a quantitative field such as Mathematics, Statistics, or Financial Engineering

　　3+ years of model risk management experience in financial services, banking or insurance industries

　　Proficient in one or more of the following tools: Python/R, SQL, Excel, Tableau, Alteryx

　　Knowledgeable in credit models, mortgage security pricing/hedging, DFAST, CECL, and VaR framework.

　　Strong communication, collaboration and interpersonal skills

　　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 [email protected].