Senior Quantitative Modeler - Data-Driven Architect

The Fannie Mae; Washington (District of Columbia); Hybrid; USD 123,000 - 161,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Voluntary lifestyle benefits

Job summary

The Fannie Mae is seeking a Senior Quantitative Modeler to conduct theoretical and empirical research on mortgage finance topics, including home price index estimation and forecasting, using SQL, R, or Python. The role emphasizes developing innovative analytical solutions and validating model methodologies within company policies.

Ideal candidates hold a bachelor’s degree with 2+ years of data analysis experience, plus proficiency in SQL, Python, GitHub, and AWS.

Qualifications

• Bachelor degree or equivalent in a quantitative field.
• 2+ years of data analysis and modeling experience.
• Experience with 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 or assess ad-hoc analyses, modeling, or programming using SQL, R, or Python.
• Use advanced data mining to develop insights, hypotheses, and recommendations.
• Identify opportunities to apply quantitative methods to improve performance.
• Implement validation and testing to assess model quality and risk.
• Communicate complex results clearly in reports and summaries.

Skills

Data analysis

Statistical modeling

Econometrics

Python programming

Education

Bachelor's degree

Postgraduate degree (statistics/physics/math)

Tools

SQL

Python

GitHub

AWS

Job description

The Fannie Mae is seeking a Senior Quantitative Modeler to conduct theoretical and empirical research on mortgage finance topics, including home price index estimation and forecasting, using SQL, R, or Python. The role emphasizes developing innovative analytical solutions and validating model methodologies within company policies.

Ideal candidates hold a bachelor’s degree with 2+ years of data analysis experience, plus proficiency in SQL, Python, GitHub, and AWS.