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Lead Data Scientist

Enova

Skills

Required

  • analytics / applied machine learning / quantitative modeling

Preferred

  • fraud analytics / fraud strategy / risk modeling
  • pattern-recognition pipelines
  • detect emerging fraud trends
  • Python
  • SQL

Join Enova's Fraud Analytics team as a Lead Data Scientist. In this role, you will develop, enhance, and test models and pattern-recognition pipelines to detect emerging fraud trends across our lending products. You will work closely with our Fraud Operations team and conduct ad hoc analysis on large datasets. This position offers a hybrid work schedule, competitive benefits, and opportunities for professional growth.

Responsibilities

  • Develop, enhance, and test models and pattern-recognition pipelines to detect emerging fraud trends.
  • Collaborate closely with the Fraud Operations team to refine features and reduce false positives/negatives.
  • Manage team members, coordinate their work with business priorities, and mentor teammates.
  • Advanced Python and SQL; experience owning models end-to-end — design through deployment and monitoring — on large-scale transactional data
  • Track record of translating analysis into business strategy and communicating with senior stakeholders

Requirements

  • 5+ years of experience in analytics, applied machine learning, or quantitative modeling
  • Previous leadership experience mentoring teammates, driving team initiatives, and shaping priorities

Preferred

  • Hands-on fraud experience required — fraud analytics, fraud strategy, or risk modeling, ideally in fintech or lending

Pay

USD 106,000 - 140,000