Quantitative Analytics Sr

Freddie Mac

23h•Hybrid

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. Develop and/or analyze quantitative models that assess the market, credit, and/or operational risks of new and existing financial and mortgage products or portfolios to support business and risk decisions. Develop strategies to analyze and interpret output of models or analytic applications, which assess things, such as relative risks of each product within the portfolio. Plan, execute, and document analysis of complex financial models. May provide portfolio risk assessments based on findings. May provide modeling and analytical assistance to a line of business or product area, functioning as day-to-day technical expert. Evaluate and manage risks associated with the company's models, including models of defaults, security valuation, prepayments, loan scoring, and others. May perform detailed model validation reviews, establish performance thresholds, research model approaches, create alternative models and other means. Provide innovative, thorough, and practical solutions to an extensive range of demanding problems, including analyses of relative value. Apply technical and quantitative knowledge of applied mathematics, economics, or statistics, leveraging a strong background in computer science or econometrics. Provide resolutions to an extensive range of complicated problems. Solutions are innovative, thorough, and practicable. Work under limited direction. Independently determine and develop approach to solutions. Work is evaluated upon completion for adequacy in satisfying objectives. Represent the organization as the principal customer contact on contracts and often performs project leadership role. Interact with senior customer personnel on significant technical matters frequently requiring coordination across organizational lines. Position may be eligible for part-time telecommuting.

Requirements

Ph.D. or foreign equivalent in statistics, mathematics, economics, finance, or a closely related quantitative discipline and demonstrated knowledge in each of the following: Economic and/or financial modeling, including modern econometric/statistics estimation techniques; Programming in SQL, SAS, R, and Matlab; and Working with large data sets.
Master’s degree or foreign equivalent in statistics, mathematics, economics, finance, or a closely related quantitative discipline and 3 years of experience in each of the following: Economic and/or financial modeling, including experience with modern econometric/statistics estimation techniques; Programming in SQL, SAS, R, and Matlab; and Working with large data sets.

Responsibilities

Develop and/or analyze quantitative models that assess the market, credit, and/or operational risks of new and existing financial and mortgage products or portfolios to support business and risk decisions.
Develop strategies to analyze and interpret output of models or analytic applications, which assess things, such as relative risks of each product within the portfolio.
Plan, execute, and document analysis of complex financial models.
May provide portfolio risk assessments based on findings.
May provide modeling and analytical assistance to a line of business or product area, functioning as day-to-day technical expert.
Evaluate and manage risks associated with the company's models, including models of defaults, security valuation, prepayments, loan scoring, and others.
May perform detailed model validation reviews, establish performance thresholds, research model approaches, create alternative models and other means.
Provide innovative, thorough, and practical solutions to an extensive range of demanding problems, including analyses of relative value.
Apply technical and quantitative knowledge of applied mathematics, economics, or statistics, leveraging a strong background in computer science or econometrics.
Provide resolutions to an extensive range of complicated problems. Solutions are innovative, thorough, and practicable.
Work under limited direction.
Independently determine and develop approach to solutions.
Represent the organization as the principal customer contact on contracts and often performs project leadership role.
Interact with senior customer personnel on significant technical matters frequently requiring coordination across organizational lines.