Quantitative Analytics Senior

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 Multifamily (MF) is the market leader in Multifamily lending area. MF Modeling and Research Quantitative Analyst will perform model developments and quantitative analytical support to multifamily business. We're looking for someone who is analytical, willing to take new challenges with great attitude and has strong quantitative problem solving skills. Apply now and learn why there’s #MoreAtFreddieMac!

**This position can be performed currently from a remote location in the U.S. but will require presence in a Freddie Mac office in the future.***

Our Impact:

• Our team is to lead quantitative research, data science and modeling projects related to multifamily credit risk, market risk, economic capital, and valuation analytics
• Analytical innovations to improve multifamily business effectiveness, operation optimization and risk management
• Multifamily market and affordable housing research
• Managing model risk governance and regulatory compliances

Your Impact:

• Lead and coordinate empirical research and methodology development on credit and market risk analytics for Multifamily portfolio and securities
• Improve multifamily economic capital framework and provide support to Freddie Mac regulatory capital analytics
• Demonstrating quantitative abilities – both data science and financial/statistical analytics – to provide analytical support to the multifamily business
• Actively manage and improve model risk management practice to ensure the full compliance for regulatory and corporate requirements
• Support the model governance activities and independently evaluate the operational effectiveness in MF analytics
• Provide empirical researches related to Multifamily lending and affordable housing market through rigorous data analytics
• Write periodic research reports and technical documents to support the internal and external publications

Qualifications:

• Doctorate degree (or Master's degree with equivalent work experience) in economics, statistics or a related quantitative field.
• 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.
• Doctorate degree or Master's degree with 3-5 years’ work experience in quantitative finance, statistics or a related quantitative field.
• Programming skills in one or more of SAS, R, Python, MATLAB, C, C++, or related languages.
• Experience with financial industry, particularly in housing market is preferred.

Keys to Success in this Role:

• Strong verbal and written communication skills
• Strong modeling and data analytics skills
• Ability to collaborate with different teams
• Deep curiosity to learn about new things with critical thinking
• Willing to embrace changes