Senior Quantitative Modeler — Mortgage Analytics (Hybrid)

The Fannie Mae; Washington (District of Columbia); Sur place; USD 123 000 - 161 000; Plein temps

Résumé du poste

Fannie Mae is seeking a Senior Quantitative Modeler to conduct theoretical and empirical research in mortgage finance, including housing index estimation and forecasting. You will work on modeling projects using SQL, Python, and AWS, and communicate results clearly to stakeholders.

The role emphasizes practical analytics, validation of methodologies, and collaboration with cross-functional teams in a hybrid onsite model. A bachelor’s degree and 2+ years of data analysis experience are required.

Qualifications

• Bachelor degree or equivalent.
• 2+ years of data analysis and modeling experience.
• Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence.

Responsabilités

• Apply mathematical, statistical, and econometric techniques to provide solutions that support business strategies.
• Complete modeling projects aligned with company policies and practices.
• Conduct ad-hoc analyses and modeling using SQL, R, or Python; develop analytic insights and recommendations.
• Identify opportunities to apply quantitative methods to improve business performance.
• Implement validation or testing strategies and assess quality and risk of model methodologies.
• Interpret model results in business context and communicate findings clearly.

Connaissances

Data analysis

Modeling

Curiosity & adaptability

Communication

Formation

Bachelor's degree

Post graduate degree in statistics/physics/math

Outils

SQL

Python

AWS

GitHub

Description du poste

Fannie Mae is seeking a Senior Quantitative Modeler to conduct theoretical and empirical research in mortgage finance, including housing index estimation and forecasting. You will work on modeling projects using SQL, Python, and AWS, and communicate results clearly to stakeholders.

The role emphasizes practical analytics, validation of methodologies, and collaboration with cross-functional teams in a hybrid onsite model. A bachelor’s degree and 2+ years of data analysis experience are required.