Senior Quantitative Modeler

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

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, under limited supervision, conduct theoretical and empirical research with public and proprietary data in the areas of mortgage finance business, including residential property valuation, home price index estimation, and home price forecasting.

The Impact You Will Make

• Apply moderately complex mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives.
• Apply experience and skill to complete modeling projects aligned with established company policies and industry-wide modeling practices.
• Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SQL, R, or Python.
• Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
• Identify opportunities to apply quantitative methods to improve business performance.
• Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes.
• Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
• Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or work papers.

The Experience You Bring To The Team

Minimum Required Experiences: Bachelor degree or equivalent 2+ years of data analysis and modeling experience Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Desired Experiences: Post graduate degree or equivalent in the field of statistics, physics, or math Experience with large data analysis and modeling Preparing technical documents on data analysis and results Proficient in SQL, Python, GitHub, and AWS.

Education

Enterprise Modeling and Analytics - Quantitative Modeling - Senior Associate

Education: Bachelor's Level Degree (Required)

Compensation

Target Pay Range: $123,000 - $161,000 a year

Requisition compensation: 123000 to 161000

Work Arrangement

#LI-Hybrid #LI-ME1

Equal Opportunity

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.

Disability Accommodation

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.

Company Culture

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.

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.

Tackle America’s biggest housing challenges using the latest technology and AI, while collaborating with experts in their fields.

As a Fortune 25 company, Fannie Mae expands access to housing across America.

Powered by the latest tech and AI, our innovative products and services drive the mortgage industry forward.

We believe that prioritizing our people’s growth and success is essential to achieving our business goals and fulfilling our purpose.

Additional Program Information

This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program).