Quantitative Analytics Senior (Credit Risk Modeling)

Posted 4 Days Ago
Be an Early Applicant
McLean, VA, USA
In-Office
126K-190K Annually
Senior level
Financial Services
The Role
Develop, implement, and validate statistical and econometric credit risk models for Freddie Mac's single-family mortgage portfolio. Perform loss forecasting, back-testing, stress testing, and model performance monitoring. Provide technical analytic support, documentation, and model implementation coordination; apply machine learning and econometric techniques to large datasets to inform business and risk decisions.
Summary Generated by Built In

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. Join an organization where your work contributes to a greater purpose.

Position Overview:

Freddie Mac’s Single-Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the Credit Risk Modeling Team.

Our Impact:

Our team is responsible for the development and analytic support of credit risk models, supports the single-Family business for risk decisions. We apply econometric, machine learning and statistical modeling to understand business problems and produce credit risk forecast for the mortgage portfolio.

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

  • Providing innovative, detailed and practical solutions to an extensive range of fast paced and complicated problems.

  • Developing and validating loss forecasting models, conducting research on improvements to the existing models, and applying industry standard methodologies and techniques to meet various business needs.

  • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.

  • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.

  • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.

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

Qualifications:
  • PhD in Economics, Statistics, Math, Computer Science or a related quantitative field; or Master's degree with at least 3 years of related post-graduate work experience

  • Strong programming skills in Python, SQL, SAS and Unix

  • Experience with programming language such as R, VBA, Java or C++

  • Experience working with large data sets and relational database

  • Experience working with mortgage or consumer credit risk models, prepayment models and severity models

  • Experience with competing-risk hazard models, transition models, loss forecasting and stress testing

  • Experience in data science, machine learning and related technologies

Keys to Success in this Role:

  • Outstanding quantitative, empirical analysis, and research skills

  • Solid understanding of econometric models, tools and techniques

  • Strong programming skills

Current Freddie Mac employees please apply through the internal career site.

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.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

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 $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.

Skills Required

  • PhD in Economics, Statistics, Math, Computer Science or related quantitative field; or Master's degree with at least 3 years of related post-graduate work experience
  • Strong programming skills in Python, SQL, SAS and Unix
  • Experience with programming languages such as R, VBA, Java or C++
  • Experience working with large data sets and relational databases
  • Experience working with mortgage or consumer credit risk models, prepayment models and severity models
  • Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
  • Experience in data science, machine learning and related technologies
  • Outstanding quantitative, empirical analysis, and research skills
  • Solid understanding of econometric models, tools and techniques

Freddie Mac Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Freddie Mac and has not been reviewed or approved by Freddie Mac.

  • Healthcare Strength Health, dental, and vision insurance are consistently described as core offerings, supported by disability and life insurance coverage. Wellbeing support is reinforced through resources like a wellness center and related health programs.
  • Retirement Support Retirement benefits are positioned as a standout element, including a 401(k) with a strong match structure and additional retirement-related features. Profit sharing and pension-plan references further increase the perceived depth of long-term financial support.
  • Parental & Family Support Family-oriented benefits are described as extensive, including paid leave for new mothers and parental leave for spouses/domestic partners. Fertility coverage, adoption/surrogacy reimbursement, and back-up child/elder care add practical support across multiple family needs.

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The Company
HQ: McLean, VA
9,809 Employees
Year Founded: 1970

What We Do

Freddie Mac is serving America’s homebuyers, homeowners and renters by financing the creation and preservation of more affordable homeownership and rental opportunities, providing liquidity, stability and affordability to the housing market. We are Making Home Possible for families across the nation.

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