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Job Description As a valued colleague on our team, you will act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include 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. Additionally, you will coach and mentor team members.

THE IMPACT YOU WILL MAKE

The Model Validator - Lead Associate 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 advanced skill, knowledge, and/or experience while leading teams to complete modeling projects aligned with established company policies and industry-wide modeling practices.

• Contribute to developing validation or testing strategies and assessing the quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks.

• Communicate technical subject matter clearly and concisely to department leadership and teams.

• Coach and mentor team members in utilizing 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.

Qualifications THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 4 years years of relevant experience validating or developing

Desired Experiences

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

• Skilled in AWS Machine Learning tools such as SageMaker or Forecast

• 4 years of research or industry experience in quantitative finance, economics, credit risk modeling or big data analytics using R, Python or SQL

• Experience in analyzing data to identify trends, patterns, or relationships to support data-driven decision making

• Experience in using statistical methods, including developing and testing hypotheses, and utilizing various modeling techniques, and writing technical reports to communicate the analysis results

• Experience with mortgage industry data and credit risk modelling practices

• Strong communication skills, with the ability to present complex information to an audience in a way that is engaging and easy to understand

• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

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.