• Job Description

  Req#: JR11207

  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.

  Job Description:

  Write programs to clean, coordinate and analyze large volumes of data. Make efficient use of the latest computing technologies to take advantage of big data and efficiently conduct analyses. Perform exploratory analysis and research and present results to both technical and nontechnical audiences. Visualize data to communicate complex ideas. Work with modeling and model implementation team in the model development process. Test and validate model updates and outputs using market research and transaction data, research trends in various loan pool subsets and suggest potential factor dials. Utilize model and other corporate metrics to provide mortgage analytics for transaction economics, hedging and pricing (loans and securities). Perform data analysis to monitor and forecast the whole-loan portfolio managed by LPMS desk on inflow / outflow, performance, changes in trend. This will involve large and complicated data sets and require familiarity with the business to iterate and drill down to meaningful results. Research and identify statistical portfolio and transaction trends to support new or improved products to manage interest rate and credit risks. Ad-hoc analytical work to support transactions and portfolio management activities. Position may be eligible for part-time telecommuting. Multiple open positions.

  Job Requirements

  Master’s degree or foreign equivalent in Engineering, Statistics, Data Science or in a closely related quantitative field and six (6) years of experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets.

  Six (6) years of experience with:

  • Data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis;
  • Writing computer programs to implement data science pipelines and predictive algorithms;
  • Programming languages, including, but not limited to, Python, R, SQL, Java, SAS, and MATLAB;
  • Using technologies for manipulating structured and unstructured data; and,
  • Working in a fast-paced trading desk environment while dealing with some degree of ambiguity.

  Or

  Ph.D. or foreign equivalent in Engineering, Statistics, Data Science or in a closely related quantitative field and three (3) years of experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets.

  Three (3) years of experience with:

  • Data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis;
  • Writing computer programs to implement data science pipelines and predictive algorithms;
  • Programming languages, including, but not limited to, Python, R, SQL, Java, SAS, and MATLAB;
  • Using technologies for manipulating structured and unstructured data; and,
  • Working in a fast-paced trading desk environment while dealing with some degree of ambiguity.

  Knowledge may be demonstrated through education, training and/or hands-on experience.

  40 hours per week 8:45 AM to 5:15 PM.

  Work location: 1551 Park Run Drive, McLean, VA 22102. Position eligible for part time telecommuting.

  If interested, submit resume or curriculum vitae via email to: im_jobs@freddiemac.com & reference #21-302. #LI-DNI

  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

  FLSA Status:Exempt

  Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

  This position has an annualized market-based salary range of $133,000 - $199,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

• About the company

  The Federal Home Loan Mortgage Corporation, commonly known as Freddie Mac, is a publicly traded, government-sponsored enterprise, headquartered in Tysons Corner, Virginia.

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