Quantitative Analytics Senior (Hybrid- 3 Days in Office)

at  Freddie Mac

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.

POSITION OVERVIEW:

Freddie Mac’s Single-Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of financial statement and business decisions as a member of the Default Costing Models Team. Apply now and learn why there’s #MoreAtFreddieMac!

QUALIFICATIONS:

• Doctorate degree, or Master degree with 3 years of equivalent work experience, in statistics, economics or a related quantitative field
• Coursework or work experience applying predictive modeling techniques from statistics, econometrics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, econometrics, mathematical programming, optimization, machine learning, computational methods, or Monte Carlo methods
• Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or C++
• Proficiency in programming languages such as SAS, Python, SQL or Unix
• Experience working with large data sets and relational database

• Exceptional quantitative and analytics skills
• Strong knowledge of econometric and statistical models, tools and techniques
• Strong programming skills