Senior Quantitative Modeler

Fannie Mae

. Conduct theoretical and empirical research with public and proprietary data in mortgage finance, including residential property valuation, home price index estimation, and home price forecasting .

Posted 10/2/2026full-timeUnited StatesSenior💰 $123,000 - $161,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in conducting theoretical and empirical research in mortgage finance, utilizing advanced statistical and econometric techniques. Proficient in data analysis, modeling, and communicating complex findings effectively.

Highest-signal resume keywords

Data AnalysisModeling ExperienceSQL ProficiencyPython ProficiencyStatistical Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisModelingStatistical TechniquesEconometric TechniquesQuantitative AnalysisHome Price ForecastingResidential Property ValuationData MiningHypothesis DevelopmentRisk Assessment

Soft Skills

CuriosityAdaptabilityCommunication

Tools & Technologies

SQLPythonGitHubAWS

Industry Keywords

Mortgage FinanceHome Price IndexModel ValidationBusiness Performance ImprovementTechnical Documentation

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Conduct theoretical and empirical research with public and proprietary data in mortgage finance, including residential property valuation, home price index estimation, and home price forecasting
Apply mathematical, statistical, and econometric techniques to support business strategies and initiatives
Complete modeling projects aligned with company policies and industry-wide modeling practices
Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SQL, R, or Python
Use advanced data mining and statistical techniques to develop analytic insights, hypotheses, and recommendations
Identify opportunities to apply quantitative methods to improve business performance
Implement validation or testing strategies and assess model methodology, output, and process quality and risk
Interpret model results, monitor performance, and assess risks
Communicate complex technical subject matter through verbal communication, white papers, review reports, and work papers

Requirements

What you’ll need

Bachelor's degree or equivalent
2+ years of data analysis and modeling experience
Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence
Postgraduate degree or equivalent in statistics, physics, or math (desired)
Experience with large data analysis and modeling (desired)
Experience preparing technical documents on data analysis and results (desired)
Proficiency in SQL, Python, GitHub, and AWS (desired)

Benefits

Comp & perks

Fannie Mae incentive program eligibility, subject to program terms
Comprehensive benefits package including Health, Life, Voluntary Lifestyle, and other benefits
Benefits and perks supporting physical, mental, emotional, and financial well-being
Flexible work arrangement (Flex)