Fannie Mae

Lead Quantitative Engineer

Washington, DC Reston, VA
USD 141k - 184k
Python C++ SQL Bash Linux Git Tableau API
Description

Lead Quantitative Engineer – Single Family

Location: Washington, DC, Reston, VA

Remote Type: Flex

Time Type: Full time

Job Description

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.

Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM


Minimum Required Experiences:

  • 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

Desired Experiences:

  • 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

Enterprise Modeling and Analytics - Quantitative Engineering - Lead Associate

Target Pay Range: $141,000 - $184,000 a year

#LI-Hybrid #LI-ME1

Qualifications

Education:

Bachelor's Level Degree (Required)

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

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.


Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. 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.

Requisition compensation:

141000

to

184000
Fannie Mae
Fannie Mae

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