Job Description As a valued leader on our team, you will manage the work of a team whose staff 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, including interest rate, financial valuation of finance assets and derivatives, and stress testing.

THE IMPACT YOU WILL MAKE

TheQuantitative Modeling Manager - Prepayment Modelsrole 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:

• Manage the application of mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives. Oversee ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.

• Guide the effective application of data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations, as well as identify opportunities to apply quantitative methods to improve business performance.

• Ensure the team completes modeling projects aligned with established company policies and industry-wide modeling practices.

• Manage the implementation of 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.

• Coach team members to communicate technical subject matter clearly and concisely.

Qualifications THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 6 years hands-on experience in building MBS prepayment models for pricing MBS and calculating risk analytics.

• Familiar with MBS data, both CUSIP level and loan level.

• Experienced in building mortgage credit risk models such as loan termination and loss given default models.

• Proficient in Python and skilled in AWS tools

• Bachelor’s degree or equivalent

Desired Experiences

• Advanced Degree in Data Science, Economics, Math, Statistics, or a related field

• In-depth knowledge of the mortgage industry and MBS market.

• Strong business acumen with the ability to digest complex issues and communicate in a concise manner to influence desired outcomes.

• Proven track record of successfully leading a team of quantitative analysts or modelers to build complex quantitative models.

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.