Lead 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 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 Enterprise Model Risk - Quantitative Modeling - 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:

• Model validation and automation of model risk management activities, leveraging strong AI, ML, Data Science, and engineering skills using R, Python, Java or other coding languages.
• Implement 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.
• Apply advanced experience and skills to complete risk management projects aligned with established company policies and industry-wide modeling practices.
• Utilize advanced 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 complex technical subject matter clearly and concisely, both verbally and through written communication, such as validation review reports.
• Contributing to project management and coordination among stakeholders.

Qualifications

Minimum Required Experiences

• 4 years of experience in quantitative modeling, data science, or a related field.
• Strong background in AI, ML, and data science techniques, or proficiency in programming languages such as Python, Java, R, or SQL.
• Familiarity with project management and coordination.
• Experience with model development or model validation (and related risk management activities).
• 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 automation of model risk management activities.
• Experience in the mortgage finance industry or a related financial sector.
• Experience in leading teams and mentoring junior members.
• Advanced degree (Master's or Ph.D.) in a related field is a plus.

Skills

• Experts in artificial intelligence (AI), including LLMs, machine/deep learning, and natural language processing (NLP)
• The group of skills related to Programming including coding, debugging, and using relevant programming languages and cloud technologies and cloud computing
• The group of skills related to Risk Assessment and Management including evaluating and designing controls, conducting impact assessments, identifying control gaps, remediating risk, etc.
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
• 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

• Large Language Models and AI tools
• Java
• Python object-oriented programming
• R Language Programming

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 individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. 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.