Quantitative Risk Analytics Senior (Credit Analytics & Reporting)

Freddie MacMcLean, VA
$133,000 - $199,000

About The Position

We are currently seeking a Quantitative Risk Analytics Senior to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with developing 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. We are responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for different enterprise models for user acceptance testing and provide feedback.

Requirements

  • 5+ years of data analytics work experience with large data sets and relational database.
  • 3+ years of programming and/or data mining experience with SQL, SAS, R, or Python.
  • Strong quantitative, analytical, and problem-solving skills.
  • Strong presentation skills both verbal and written.

Nice To Haves

  • Degree in quantitative areas (finance, statistics, mathematics, economics, data analytics) or related fields preferred.
  • Strong experience with Tableau and Excel is preferred.
  • Excellent communication and interpersonal skills to build and maintain partnerships within and outside the team to achieve desired results.
  • Eagerness to learn and improve business knowledge to solve business problems.
  • Adapt to changing priorities and shift focus as needed.

Responsibilities

  • Implement baseline processes and reports monthly and interpret results as it relates to credit risk management
  • Follow appropriate controls and standards established to maintain and build documentation for processes & reports.
  • Participate in performing ad-hoc analytics in support of credit 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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