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Freddie Mac

Quantitative Analytics Director - ERM (Hybrid 3 Days in Office)

Freddie Mac, Mc Lean, Virginia, us, 22107


At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:Responsible for the critical review and independent testing of quantitative/analytic models and in support of business, risk decisions, and financial reporting. Apply now and learn about our excellent benefits and why there’s #MoreAtFreddieMac!

Our Impact:The team is primarily responsible for validation of market risk models.

Your Impact:

Reviewing analytical methods and quantitative models for new and existing financial and mortgage products/portfolio.

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

Acts as the Model Risk lead for model testing and validation.

Developing validation reports based on rigorous theoretical and analytical reviews of models.

Acting as an advisor and leader for subordinates to meet schedules and/or resolve technical problems as well as developing and coordinating performance requirements.

Managing the coordination of the activities of a section or department. Often must lead joint effort among members of different teams.

Participate in ERM’s credit strategy review/challenge process.

Manage validation of models/frameworks such as DFAST, CECL, loss forecasting, and Internal Capital. Have overall validation responsibility for the DFAST program by coordinating all Model Risk Management related activities.

Qualifications:

MS in Economics, Finance, Statistics, Engineering, MBA with a concentration in Finance, Operational research, or a directly related quantitative field with at least 10 years of post-graduate work experience in quantitative analytics or modeling.

Programming experience with a good level of knowledge of at least one: Matlab, STATA, Python, C++, SAS, R.

Deeply knowledgeable of regression models, stochastic process modeling, Monte-Carlo simulation, Optimization and/or other econometric and statistical techniques such as survival, proportional hazards, etc.

Experience in CECL, CCAR or DFAST, Capital, Loss Forecasting models.

Experience in the financial sector preferred.

Model Risk Management Experience (2nd Line of Defense) preferred.

Ability to work across teams and with diverse organizations of modeling and risk professionals in an effective and efficient manner.

Keys to Success in this Role:

Intellectual agility and interpersonal flexibility.

Strong consultation and communication skills.

Ability to work with and collaborate across diverse teams and silos.

Deep intellectual curiosity to explore new methods and learn new techniques outside one’s own acumen.

Ability to apply analytical results to help advise on strategy and business direction.

Ability to discern between observations and findings, and between what are issues of modeling opinion versus true model limitations and performance issues that present risk to the company.

Superior written and verbal communication.

Seek and Embrace Change – Continuously improve work processes rather than accepting the status quo.

Outstanding ability to lead and influence within and beyond the ERM organization.

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

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law.

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 $212,000 - $318,000 and is eligible to participate in the annual incentive program.

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