Quantitative Analytics Professional A at Freddie Mac in McLean, VA

Summary: Freddie Mac is committed to making home possible for families across the country. They are seeking a Quantitative Analytics Professional A to develop and analyze quantitative models that assess market, credit, and operational risks of financial and mortgage products, as well as provide innovative solutions to complex problems. 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 - 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, 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 Required Qualifications: - Master's degree or foreign equivalent in applied mathematics, economics, 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 - Programming in SAS, Python or R - Applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets - Writing statistical and/or optimization programs to develop models and algorithms Required Skills: Predictive modeling, SAS, Python, R Important Skills: Statistical programming, Model validation Nice-to-Have Skills: Analytical skills Benefits: Comprehensive total rewards package, Competitive compensation, Market-leading benefit programs