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Quantitative Analytics Senior

Freddie Mac
Posted 2 days ago, valid for 6 days
Location

Springfield, VA 22153, US

Salary

$126,000 - $190,000 per year

Contract type

Full Time

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Sonic Summary

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  • Freddie Mac is seeking a Quantitative Analytics Senior in their Single Family Division to develop and execute quantitative analytic models for business and risk decisions.
  • The position requires a PhD in a quantitative discipline or a Master's degree with at least 3 years of relevant experience.
  • Key responsibilities include developing analytical methods for assessing credit risk and providing modeling support for various financial products.
  • Candidates should have strong expertise in predictive modeling and proficiency in programming languages such as Python or R.
  • The salary for this position ranges from $126,000 to $190,000, depending on experience and qualifications.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Continue your career journey where your work contributes to a greater purpose. 

Position Overview:

Freddie Mac’s Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and applications in support of business and risk decisions as a member of the back-end modeling team within Single Family Modeling. Areas will include: loan modification, short sale, foreclosure sale auction, distressed property valuation and pricing.

Our Impact:

We are responsible for developing Single Family portfolio credit risk management models in the area of servicing and liquidation. These are directly applicable to the $3 trillion Single Family credit portfolio, delinquent loans and distressed assets.

Your Impact:

  • Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products

  • Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable

  • Providing modeling and analytical support to a line of business or product area

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


 

Qualifications:

  • PhD in economics, finance, statistics, or a related quantitative discipline, or Master’s degree with 3+ years of relevant experience.

  • Strong expertise in predictive modeling, econometrics, optimization, machine learning, and/or Monte Carlo simulation methods.

  • Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS

  • Ability to perform independent model development, data processing and cleaning

  • Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence

Keys to Success in this Role:

  • Training and experience with credit risk models

  • Collaborative and professional approach working in a team setting

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals 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.

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 $126,000 - $190,000 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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