Quantitative Analytics Senior – Data Scientist (Hybrid – 3 Days in Office)

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.
Employees, contingent workers and visitors are no longer required to show proof of vaccination to be on-site. Effective January 2023, Freddie Mac’s hybrid work arrangement is 3 days in the office (specifically Tuesday, Wednesday & Thursday).
Position Overview:
Freddie Mac’s Investments & Capital Markets Division is currently seeking a Quantitative Analytics Senior Analyst to develop quantitative financial models and applications in support of business and risk decisions. Contribute to the development of a high-performance computing environment for model estimation and execution. Apply now and learn why there’s #MoreAtFreddieMac!
Our Impact:
The Modeling and Analytics group in Freddie Mac’s Investments and Capital Markets division develops statistical and machine learning models that are used for valuation and risk analytics purposes.
Your Impact:
The successful candidate will contribute to the development of quantitative financial models used for valuation and risk analytics. The successful candidate will also contribute to the development of a high-performance model execution environment.
Focus on developing analytical methods and models that assess the market risks of new and existing financial and mortgage products/portfolio.
Provide modeling and analytical support to a line of business or product area, functioning as day-to-day technical expert.
Participate to the design and development of a high-performance model execution environment for pre-production purposes.
Qualifications:
Doctorate degree (or Master’s degree with equivalent work experience) in quantitative finance, 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.
Strong quantitative skills (statistics, econometrics, linear algebra).
Experience with Amazon Web Services (AWS) is a plus
Experience with Spark and cluster computing is a plus
Keys to Success in this Role:
Understanding of, or ability to learn complex predictive models.
Strong database and analytical skills.
Experience in applying machine learning for predictive modeling.
Ability to complete complex projects with limited direction, independently determining and developing solutions.
Current Freddie Mac employees please apply through the internal career site.
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.
We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
Job Category:Research & Modeling
FLSA Status:Exempt
The anticipated annualized base salary range for this position is $114,000 to $170,000 and is eligible to participate in the annual incentive program.
To apply for this job please visit www.whatjobs.com.