Fannie Mae · 5 hours ago
Enterprise Modeling and Analytics - Quantitative Engineering - Lead Associate
Washington, DC
Full-time
Hybrid
Mid, Senior Level
$141K/yr - $184K/yr
4+ years expFannie Mae is foundational to housing finance, aiming to expand access to homeownership and affordable rental housing. The Quantitative Engineering Lead will design and maintain analytical systems for financial reporting and modeling, collaborating with various teams to enhance operational workflows and deliver production-grade platforms.
Financial Services
Responsibilities
Implement, test, and optimize components of Multifamily integrators, econometric models, and statistical forecasting frameworks using financial engineering and data science methodologies
Modernize legacy Java based modeling applications, applying GenAI coding tools and prompt engineering techniques to migrate and refactor components into Python for improved performance, clarity, and maintainability
Design, engineer, and optimize analytical and modeling systems, performing detailed cashflow and scenario analytics to support business insights and decision making
Translate complex mathematical and business logic into reliable, scalable production code; develop and execute comprehensive unit and integration tests to ensure model integrity
Partner with model development, data engineering, and business stakeholders to deploy analytics solutions aligned with modeling requirements, regulatory needs, and operational workflows
Contribute to engineering best practices, documentation standards, and Agile delivery processes
Qualification
Required
4 years plus experience designing and deploying quantitative software solutions in Java, Python, and SQL
Bachelor degree or equivalent
Proven ability to translate complex mathematical, financial, and business logic into production quality software. Strong experience developing thorough test frameworks to validate modeling and analytical requirements
Deep experience with econometrics, logistic regression, Monte Carlo simulations, asset pricing methods, and detailed cash flow analytics
Working knowledge of mortgage finance, structured data ecosystems, analytical platforms, and regulatory frameworks such as capital rules and stress testing
Excellent written and verbal communication skills, with the ability to collaborate effectively across engineering teams, quantitative groups, business partners, and senior leadership
Preferred
Master's or higher in Computer Science, Engineering, Applied Mathematics, Statistics, Economics, Finance, or related quantitative discipline, with 10+ years of relevant experience
Proficiency working in AWS and familiarity with R is a plus
Multifamily mortgage expertise strongly preferred
Hands-on experience using GenAI development tools (e.g., GitHub Copilot, LLM based assistants) to accelerate coding workflows, improve documentation, automate refactoring, and reinforce engineering standards
Strong proficiency with Agile methodologies and tools such as Jira for task management and sprint planning
Benefits
Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
Company
Fannie Mae
Fannie Mae creates opportunities for people to buy, refinance, or rent a home.
5001-10000 employees
H1B Sponsorship
Fannie Mae has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Franklin Raines
Retired Chairman and CEO
Priscilla Almodovar
Chief Executive Officer
Recent News
2025-10-07
2025-10-07
WSJ.com: Markets
2025-10-07
Company data provided by crunchbase