Quantitative Analytics Professional A

Freddie Mac • McLean, VA

1d • Hybrid

About The Position

At Freddie Mac, the mission of Making Home Possible is what motivates the organization, having made home possible for more than 90 million families since its charter in 1970. The Quantitative Analytics Professional will contribute to this purpose by developing and/or analyzing 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. This role involves developing strategies to analyze and interpret output of models or analytic applications, which assess things such as default losses and required capital of the portfolio. The professional will plan, execute, and document analysis of complex financial models and provide support to the use of model applications. They may provide portfolio risk assessments based on findings and modeling and analytical assistance to a line of business or product area, functioning as day-to-day technical expert. The position also involves evaluating and managing risks associated with the company's models, including models of defaults, security valuation, prepayments, loan scoring and others. They may perform detailed model validation reviews, establishing performance thresholds, researching model approaches, creating alternative models and other means. The role requires providing innovative, thorough, and practical solutions to an extensive range of demanding problems, including analyses of relative value. Freddie Mac operates in the secondary mortgage market, purchasing mortgage loans from lenders to keep mortgage capital flowing, thereby making homeownership and rental housing more accessible and affordable and providing liquidity, stability, and affordability to the U.S. housing market in all economic conditions.

Requirements

• Master’s degree or foreign equivalent degree in Applied mathematics, economics, physics, finance, business analytics, engineering, statistics, computer science, or related quantitative discipline
• Demonstrated knowledge of using and applying predictive modeling standard principles, theories, concepts, and techniques
• Demonstrated knowledge of programming in SAS, Python, or R
• Demonstrated knowledge of mortgage portfolio credit risk

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 default losses and required capital of the portfolio
• Plan, execute, and document analysis of complex financial models and provide support to the use of model applications
• Provide portfolio risk assessments based on findings
• 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
• Perform detailed model validation reviews, establishing performance thresholds, researching model approaches, creating alternative models and other means
• Provide innovative, thorough, and practical solutions to an extensive range of demanding problems, including analyses of relative value

Benefits

• Comprehensive total rewards package
• Competitive compensation
• Market-leading benefit programs
• Annual incentive program
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees