Quantitative Risk Analysis Manager

Freddie Mac•McLean, VA
•$161,000 - $241,000

About The Position

We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations.

Requirements

  • Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field with 8-10 years related experience
  • 5+ years of data analysis experience, with a combination of business and technical skills (SQL, SAS, R or Python programming experience). Experience in analyzing and manipulating large data sets
  • Mortgage industry experience or financial / credit analysis
  • Self-motivated, pro-active, and problem solver
  • Proven quantitative, analytical and problem-solving skills
  • Strong communication skills both oral and written
  • Excellent SAS and SQL programming skills
  • Must be able to manage several priorities, meet deadlines, identify and call out issues appropriately to the management

Responsibilities

  • Manage a team of three to four people
  • Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management
  • Follow appropriate controls and standards established to maintain and document for processes & reports.
  • Participate in performing ad-hoc analytics in support of collateral policy
  • Cleanse, manipulate and analyze large datasets using statistical software
  • Collaborate with team members and interact across organizational lines to meet business objectives

Benefits

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