Senior Quantitative Modeler - AI-Driven Housing Finance

The Fannie Mae; United States; Hybrid; USD 123,000 - 161,000; Full time

Job summary

The Fannie Mae is seeking a data analytics and modeling professional to advance mortgage analytics, pricing, and risk assessment across residential finance. You will work with large datasets, deploy econometric methods, and contribute to enterprise analytics projects.

The role emphasizes collaboration, rigorous documentation, and clear communication of complex results to business stakeholders. Hybrid work arrangement with onsite offices nationwide is supported.

Qualifications

• Bachelor degree or equivalent with 2+ years of data analysis and modeling experience.
• Willingness to learn and apply AI technologies responsibly.
• Proficient in SQL, Python, GitHub, and AWS.

Responsibilities

• Apply mathematical, statistical, and econometric techniques to provide practical solutions.
• Complete modeling projects aligned with company policies and practices.
• Conduct ad-hoc analyses, modeling, or programming using SQL, R, or Python.
• Develop analytic insights and informed recommendations from data.
• Interpret model results and assess risks within business context.
• Communicate complex technical topics clearly in reports and white papers.

Skills

Data analysis

Modeling

SQL

Python

R

Github

AWS

Communication

Education

Bachelor's degree

Postgraduate degree in statistics/physics/math

Tools

GitHub

AWS

Job description

The Fannie Mae is seeking a data analytics and modeling professional to advance mortgage analytics, pricing, and risk assessment across residential finance. You will work with large datasets, deploy econometric methods, and contribute to enterprise analytics projects.

The role emphasizes collaboration, rigorous documentation, and clear communication of complex results to business stakeholders. Hybrid work arrangement with onsite offices nationwide is supported.