Onsite
Full Time
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powertofly approved What Freddie Mac Has to Offer:

Freddie Mac makes home possible for millions of families and individuals by providing mortgage capital to lenders. Benefits include:

  • Flexible work arrangements
  • Home benefit program
  • Student loan repayment benefit
  • Paid parental leave
  • Job Type

    Full Time

    Job Details

    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 Investments & Capital Markets Division is seeking a Quantitative Analytics Senior to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.

    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 financial and statistical models that are used for valuation and risk analytics purposes.

    Your Impact:

    The successful candidate will contribute to the development of prepayment model and conduct portfolio analysis to support trading and hedging activities.

    • Developing mortgage prepayment, default and severity models that assess market risk of mortgage backed securities, CMOs, and senior-sub structured products

    • Applying statistical modeling and big data analytics tools and developing innovative solutions for forecasting mortgage borrower behavior

    • Conducting research on industry models, market conditions, and regulatory environment.

    • Developing and enhancing valuation processes and risk metrics for our retained portfolio of mortgage products.

    • Conducting sensitivity analysis and impact assessment for model updates and changes in model inputs.

    • Preparing model documentation and conducting thorough model validation tests.

    • Developing ongoing performance monitoring and threshold methodology.

    • Providing analytics support for trading and hedging activities.

    • Working under limited direction, independently determining and developing approach to solutions.

    Qualifications:
    • Doctorate degree (or Master's degree with equivalent work experience) in statistics, data science or a related quantitative field.).

    • Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.

    • Coursework or work experience writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.

    • Coursework or work experience using technologies for manipulating structured and unstructured big data. Big data technologies may include—but are not limited to—Hadoop, Hive, Pig, Spark, relational databases, and NoSQL.

    • OR MS in Economics, Finance, Statistics or a directly related quantitative field with at least 3 years of related post-graduate work experience in mortgage valuation and statistical modeling

    • Programming skills in one or more of SAS, R, Python or related languages

    • Exceptional quantitative, empirical analysis, and research skills

    • Experience with SQL and working with relational databases

    Keys to Success in this Role:
    • Exceptional quantitative, empirical analysis, and research skills

    • Strong knowledge of survival analysis and mortgage valuation

    • Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing

    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.

    CA Applicants:  Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

    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 $118,000 - $178,000 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.
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    Quantitative Analytics Senior - Data Scientist (Hybrid - 3 Days in Office)
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