Quantitative Modeling - Enterprise Model Risk (AI/ML)

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to use tech to tackle housing’s biggest challenges and impact the future of the industry. You’ll be a part of an expert team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

As a valued contributor to our team, you will apply extensive and diversified knowledge of principles, advanced techniques, and theories to create unprecedented solutions for 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 Enterprise Model Risk - Quantitative Modeling - Principal 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:

• Conduct theoretical and empirical analyses with public and proprietary data in all areas of the mortgage finance business including securitization, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic forecasting of home price and interest rate trends, valuation of financial instruments, capital management, and stress testing.
• Apply mathematical, statistical/econometric techniques to effectively challenge model development.
• Conduct analyses using R and Python to develop analytic insights and informed recommendations for the enterprises’ use of quantitative models.
• Provide oversight in large modeling initiatives for alignment with company policies and industry practices.
• Apply understanding of relevant business context to properly interpret model results, monitor performance, and assess risks.
• Clearly communicate technical subject through validation reports and presentations.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 8 years of relevant work experience

Functional Skills 

• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Skilled in influencing, negotiating, persuading others and resolving conflict
• Familiarity with mortgage finance
• Work experience at a large financial services firm (SIFI or GSIB)
• Proficient written and oral communication skill in delivering complex technical information to diverse audiences.
• Demonstrated experience with stakeholder management and interactions with regulatory entities.
• Strategic mindset with clear understanding of business operations and insights related to risk modeling 

Technical Skills 

• Experience in model validation or model development
• Expertise with Ai/machine learning and other modern modeling techniques including the use of big/unstructured data
• Experience in applying advanced econometric and statistical techniques to time series, panel data, discrete event modeling, mortgage performance modeling, property and financial asset valuation, and other quantitative problems in mortgage finance
• Ability to present information and/or ideas to an audience through clear and engaging visualizations.

Desired Experiences

• PhD in Economics w/ Econometrics focus, Applied Finance, Statistics, Mathematics, Computer Science, or similar quantitative discipline
• Advanced experience in econometrics, statistical inference and/or financial mathematics, including time series forecasting, stochastic processes, hypothesis testing and causal inference, macroeconomic forecasting, market microstructure, and optimization/estimator design.
• Expertise with machine learning and other modern modeling techniques including the use of big/unstructured data
• Leadership or principal contributor experience in a model validation a large firm in the financial services industry (SIFI or GSIB)
• Deep knowledge of Fannie Mae's business operations and policies or that of the Secondary Mortgage Market 

Additional Information

Fannie Mae is primarily a hybrid company. We embrace flexibility for our employees while providing office space for in-person work and collaboration. This role is classified as (Remote/Hybrid/Onsite). If you speak with a Recruiter, they will provide you with more information about the definition of this classification.

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

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.

Job ID: REF10766E

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The hiring range for this role is set forth above. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.