Enterprise Modeling and Analytics - Quantitative Engineering - Lead Associate

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

The Quantitative Engineering Lead will design, implement, and maintain high performance analytical and modeling systems that power Multifamily financial reporting, pricing, capital, and portfolio analytics. This role blends advanced financial engineering, econometric modeling, and engineering to deliver production grade platforms used across the enterprise. The ideal candidate brings deep quantitative expertise, strong engineering discipline, and a passion for modernizing legacy modeling environments. You will collaborate closely with quantitative modelers, data engineering teams, and business partners to implement models, streamline analytical workflows, and enhance the computational backbone of Multifamily Credit Works.

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.

• 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.

• 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

• 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