Freddie Mac

Quantitative Analytics Senior (Credit Risk Modeling)

Freddie Mac$126K — $190K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Economics, Statistics, Math, Computer Science, or related field; or a Master's degree with 3+ years of relevant experience
  • Proficient in Python, SQL, SAS, and Unix
  • Familiarity with R, VBA, Java, or C++
  • Experience analyzing large datasets and using relational databases
  • Knowledge of mortgage or consumer credit risk models and financing products
  • Experience with competing-risk hazard models and loss forecasting
  • Background in data science and machine learning technologies

Responsibilities

  • Develop analytical methods to assess credit risk for financial and mortgage products
  • Provide innovative solutions for complex analytical challenges
  • Develop and validate loss forecasting models and propose improvements
  • Coordinate model testing, including back tests and economic tests
  • Support a business line with modeling and analytical expertise
  • Document technical analytics and rationale for model development
  • Independently determine approaches to solving analytical problems

Benefits

  • Comprehensive total rewards package
  • Market-leading benefit programs
  • Participate in the annual incentive program
Full Job Description
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.

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.

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.

About Freddie Mac

Freddie Mac is vital to a strong U.S. housing system, providing liquidity to the mortgage market under all economic conditions while ensuring the safety and soundness. As a trusted leader in housing finance, we guide the industry in meeting the needs of lenders and lowering the cost of housing for America's families.
Learn more about Freddie Mac
Size
7,284 employees
Industry
Founded
1970
NASDAQ

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