Fair is looking for a talented Fraud leader to join a fast-growing business as the Manager of Fraud Strategy. The role will build out the fraud prevention strategies and team for a growth-focused, early-stage company. This leader will balance mitigating fraud risk and maximizing new customer acquisition by optimizing segment level profitability.

The position will create both our automated and operational strategy in partnership with key organizational stakeholders. Focus will be on both 3rd party and 1st party fraud perpetrated during the new loan origination process. Use of 3rd party data & models, on-going analysis of the existing portfolio, and industry best practices will be critical for success.

The ideal candidate will be organized, P&L oriented, obsessed with attention to detail, and understand how tactical business goals contribute to our strategic vision. The candidate will be adept at using data mining tools (SQL/SAS) and modeling techniques (Regression, Decision Trees, and machine learning) to design and implement fraud strategies.

Responsibilities:

  • Partner with Servicing and Underwriting to create a balanced Fraud Framework which mitigates risk while minimizing false positives
  • Utilize the Fraud Framework to improve our controls and increase net income
  • Work with Compliance, Operations, and IT teams to deploy processes that automate online fraud detection and prevention
  • Identify monitoring gaps and work with IT team to build out reporting (velocity, classification of fraud types, recoveries, strategy performance, etc.)
  • Drive the monthly Fraud Forum to propose new rules and report out on confirmed losses, potential new cases, and operational assessments (document review and agent performance)
  • Manage our current vendors and identify new ones to keep us on the frontier of prevention
  • Lead our analytics team to build our 1st generation models to mitigate First Pay Defaults

Requirements

  • Bachelor’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Engineering is a plus
  • 5+ years of experience in a consumer lending fraud analytical role, preferably in a financial services risk management capacity
  • Previous experience in online fraud prevention – unsecured/secured consumer lending a plus
  • Ability to distill large amounts of data and findings into clear and concise recommendations
  • Strong communication both oral and written to socialize recommendations to both internal and external leadership
  • Desire to work in a fast-paced environment, prioritize, and define what “great” looks like
  • Passion for problem solving and teamwork

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