Lead Quantitative Engineer – Single Family

Fannie Mae•Washington, DC

6d•$141,000 - $184,000•Hybrid

About The Position

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. 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 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. Create and maintain required Model Management Life Cycle (MMLC) document for the implemented model including solution specification, testing plan and testing result, and impact analysis. 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. Demonstrates strong ownership and execution mindset — a self‑driven, independent problem solver who collaborates effectively across teams and consistently delivers high‑quality results under tight timelines. Communicates proactively and professionally while clearly and transparently engaging with model teams, business and technology partners, reviewers, peers, and leadership through effective written and verbal communication.

Requirements

4 years working experience in Software or Quantitative Engineering
Excellent software development and testing skills in Linux environment
Fluency in using Gen-AI tools like Github Copilot, ChatGPT, MS Copilot
Excellent mathematical, statistical, and analytical skills
Proficiency in Python programming and data science packages
Familiarity with quantitative model development and testing
Good understanding of Object-Oriented Software development
Bachelor's Level Degree (Required)

Nice To Haves

Advanced degree or equivalent
Mortgage modeling working experience
Proficiency in SQL and popular BI tools like Tableau
Proficiency in C++ programming
Excellent writing skills for technical and analytical documents, reports, and presentations.
Financial institutions working experience
Understanding Model Development and Governance process
Understanding Software Development Life Cycle practice

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.
Create and maintain required Model Management Life Cycle (MMLC) document for the implemented model including solution specification, testing plan and testing result, and impact analysis.
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.
Demonstrates strong ownership and execution mindset — a self‑driven, independent problem solver who collaborates effectively across teams and consistently delivers high‑quality results under tight timelines.
Communicates proactively and professionally while clearly and transparently engaging with model teams, business and technology partners, reviewers, peers, and leadership through effective written and verbal communication.

Benefits

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.

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