Quantitative Analytics Senior

Freddie Mac

2d • $126,000 - $190,000

About The Position

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 House Price Modeling Team.
Our Impact:
Our team is responsible for the development and analytic support of the House Price Forecast model, Affordable Forecast Model, and Benchmarking Default Costing model. Our models are behind many key business initiatives at Freddie Mac such as Credit Risk Transfer, Portfolio Management, Collateral Valuation, Risk Management, and Affordable Housing. We are guided and empowered by several core principles, including the belief that cross-disciplined approaches are far more likely to produce breakthrough models. We recognize that to be at our best we need to build an organization that allows individuals to learn about and participate in a variety of models and modeling techniques.
In our team, candidates work with enthusiastic and collaborative professionals with a diverse set of backgrounds in econometrics, statistics, machine learning and analytics to support and advance Innovative analytics and develop pioneering solutions to convert insights into actions. Applying their quant skills, candidates routinely extract, understand and analyze data in our wide repository of sources, and further produce insights and build models that will inform Freddie Mac’s decisions on our mortgage portfolio. Candidates have the opportunity to perform a wide range of analyses with high impact on management decisions.
Your Impact:
Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products. Conducting research on enhancements to the existing models and applying industry best practices and techniques to meet various business needs.
Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.
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.
Independently resolve and develop approach to solutions.

Requirements

• Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field
• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods
• Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R, SAS, SQL, or MATLAB
• Experience working with large data sets and relational database
• Exceptional quantitative and analytics skills
• Strong knowledge of statistical models, tools and techniques
• Strong communication skills

Nice To Haves

• Experience in statistical model development and implementation is preferred
• Experience with software development and system setup for model application is preferred

Responsibilities

• Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.
• Conducting research on enhancements to the existing models and applying industry best practices and techniques to meet various business needs.
• Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
• Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.
• 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.
• Independently resolve and develop approach to solutions.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level