Freddie Mac

Position Title/Short Description

Full Text of JOE Listing:

Quantitative Tech Lead - Economist
McLean, VA
At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Single-Family Client and Community Engagement Division at Freddie Mac seeks for an experienced economist to help advance research on housing policy issues with the focus on access to credit, affordability and underserved markets. The ideal candidate should have a Doctorate degree (or master’s degree with equivalent work experience) in economics, statistics or a related quantitative field, and 5-10 years of related technical experience.

In this position, you will write and publish research papers, articles and reports focused on understanding barriers and opportunities for underrepresented and low- to moderate-income consumers; support our Housing Insights and Solutions team through data preparation, complex data and statistical analysis, and model output assessment to support and drive business strategies and objectives; provide innovative, thorough and practical solutions to an extensive range of demanding and complicated business problems; support market and lender outreach research and analytics, including new pilots, program, and segment strategies to better target borrowers; and collaborate with other areas of the company to create deliberate affordable and access to credit strategies.

Qualifications:

* Doctorate degree (or master’s degree with equivalent work experience) in economics, statistics or a related quantitative field.
* 5-10 years of related technical experience.
* Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include–but is not limited to-statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
* Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include–but are not limited to–Python, R, SQL, Java, SAS, and MATLAB.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

Apply Online to JR642
careers.freddiemac.com

Freddie Mac is an equal opportunity and top diversity employer.