Manager (remote)

  • 41194
  • Non-Life - Data Science
  • |
  • United States
  • |
  • yesterday
RESPONSIBILITIES
  • · · Signal Detection: Lead an analytics team in analyzing massive behavioral and transactional datasets to uncover hidden fraud and abuse patterns.
  • · · Rapid Mitigation: Build monitoring frameworks, dashboards, and agile defenses to combat emerging fraud threats cross-functionally.
  • · · AI & ML Optimization: Track and optimize AI agent performance for Fraud Ops, partnering with Machine Learning engineers to translate fraud insights into robust model feature improvements.
  • · · Metrics & Reporting: Own key operational efficiency metrics and regular reporting to quantify fraud savings.
  • · · Team Leadership: Hire, mentor, and elevate junior data analysts while driving technical excellence through code and design reviews.
  • · · Strategic Partnership: Collaborate closely with leadership, product, engineering, and fraud ops to define core risk strategies.
  • · Set the standard for the team in terms of analytical thinking and excellence.
QUALIFICATIONS
  •  5+ years in fraud analytics
  • High-growth startup background is a major plus.
  •  Tech Stack: Strong proficiency in SQL and experience with Python, paired with core expertise in statistical analysis, data wrangling, and storytelling.
  •  Core Skills: Exceptional communication, stakeholder management, and a hands-on, proactive approach to problem-solving.
SALARY
  • 160-185k