Senior Associate--AI/ML Modeling (Flexible Hybrid)

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 impact the future of the housing industry while being part of an inclusive 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 colleague on our team, you will, under limited supervision, 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, 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 - Senior 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:

• Model validation and automation of model risk management activities, leveraging AI, ML, Data Science, and engineering skills using R, Python, Java or other coding languages.
• Contributing to validation or testing strategies and assessing the quality and risk of model methodologies, outputs, and processes.
• Apply experience and skills to complete risk management projects aligned with established company policies and industry-wide modeling practices.
• Utilize 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.
• Communicate technical subject matter clearly and concisely, both verbally and through written communication, such as validation review reports.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 2 years of experience in quantitative modeling, data science, or a related field.
• Background in AI, ML, and data science techniques, or proficiency in programming languages such as Python, Java, R, or SQL.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Bachelor's degree or equivalent in a quantitative field such as computer science, engineering, mathematics, or statistics.

Desired Experiences

• Experience with model development or model validation (and related risk management activities).
• Familiarity with project management and coordination.
• Experience in the mortgage finance industry or a related financial sector.
• Advanced degree (Master's or Ph.D.) in a related field is a plus.

Skills

• Experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
• The group of skills related to Programming including coding, debugging, and using relevant programming languages
• Experiences in using statistical methods, including developing and testing hypotheses, using experimental design, and running linear and logistic regressions
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI

Tools

Skilled in using one or more of the below tools

• AI/ML models
• Java
• Python object-oriented programming
• R Language Programming
• AWS
• Tableau
• Excel

Additional Information

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

Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

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 ind