Lead Quantitative Engineer - Single Family Loan Performance

Washington, DC

Employer:

Description

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 for the development and implementation of all components of financial models, cash flow simulations, P&L, and risk metrics calculations in end-user or production computing systems for use in business decisions, financial and regulatory reporting, and risk management, as well as coach and mentor team members.

THE IMPACT YOU WILL MAKE
The Lead Quantitative Engineer - Single Family Loan Performance 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:

Communicate with model development team to understand and finalize requirements in the form of model whitepapers and/or research code.
Apply advanced skill, knowledge, and/or experience while leading teams in translating complex mathematical, business, and financial modeling logic into software code, as well as design and execute modeling application systems via distributed computing both on premise and on external cloud to achieve efficiency, scalability, and modularity.
Design solution and implement SF mortgage loan performance (Borrower Behavioral and Severity) models for production. Perform development testing including Unit-Test and reconciliation testing with research code.
Lead the design and execution of test cases for modeling and analytical software applications to ensure they meet business needs and model requirements.
Own the end-to-end model lifecycle: development, validation, documentation, and integration with production systems Perform routine update and fix of the model implementation and provide customer support to model users.
Remediate governance and regulatory findings and issues related to the model.
Lead the evaluation of emerging technologies and industry best practices of model and analytical system implementation.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

4+ years of experience in quantitative modeling, data science, or financial analytics, preferably in mortgage servicing, loss mitigation, or credit risk
Proficiency in Python and data science packages (NumPy, Pandas, Scikit-learn, XGBoost, etc.)
Strong skills in SQL, Linux shell scripting, and working knowledge of AWS cloud infrastructure
Deep understanding of loan performance analytics, including delinquency modeling, loan modification outcomes, and loss severity
Experience developing and deploying models within a full software development life cycle (SDLC), using object-oriented programming and Git
Strong technical writing and communication skills for model documentation, regulatory review, and stakeholder engagement
Familiarity with model governance, audit processes, and regulatory compliance expectations
Bachelor's degree in a quantitative field (e.g., Statistics, Applied Math, Computer Science, Information Technology, Engineering) or related field

Desired Experiences:

Masters or PHD degree in a quantitative field (e.g., Statistics, Applied Math, Computer Science, Information Technology, Engineering)
Experience with Generative AI or advanced ML applications in loan performance or borrower behavior modeling
Prior work in a GSE, financial institution, or mortgage servicing environment

Qualifications

Education:
Bachelor's Level Degree (Required)

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

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, while 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 careers_mailbox@fanniemae.com

Requisition compensation:
138000
to
180000

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