Quantitative Analytics Senior

Freddie MacMcLean, VA
Hybrid

About The Position

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, 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. Technically and quantitatively oriented with a degree commensurate with level in applied mathematics, economics, or statistics, as well as strong background in computer science or econometrics. Provides resolutions to an extensive range of complicated problems. Solutions are innovative, thorough, and practicable. Works under limited direction Independently determines and develops approach to solutions. Work is evaluated upon completion for adequacy in satisfying objectives. Represents the organization as the principal customer contact on contracts and often performs project leadership role. Interacts with senior customer personnel on significant technical matters frequently requiring coordination across organizational lines. Multiple open positions. Position may be eligible for part-time telecommuting.

Requirements

  • Master’s degree or foreign equivalent in statistics, mathematics, economics, finance or closely related quantitative discipline and three (3) years of experience with each of the following: (1) economic and/or financial modeling, including experience with modern econometric/statistics estimation techniques; (2) programming in SQL, SAS, R, and Matlab; and (3) working with large data sets.
  • Employer will accept any combination of education that has been evaluated by a professional credentials evaluation service to be the equivalent of a U.S. degree.
  • Or Ph.D. or foreign equivalent in statistics, mathematics, economics, finance or closely related quantitative discipline and demonstrated knowledge of each of the following: (1) economic and/or financial modeling, including modern econometric/statistics estimation techniques; (2) programming in SQL, SAS, R, and Matlab; and (3) working with large data sets.
  • Employer will accept any combination of education that has been evaluated by a professional credentials evaluation service to be the equivalent of a U.S. degree.
  • Knowledge may be demonstrated through education, training, and/or experience.

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.
  • 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

  • competitive compensation
  • market-leading benefit programs
  • annual incentive program
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