Model Validator - Lead Associate

At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.

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.

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

Qualifications

Education:

Bachelor's Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are encouraged to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this