Manager, Fraud and Data Analytics

This position is responsible for building fraud predictive models to mitigate losses/expenses while minimizing overall impact to customers. This individual will lead a team, leveraging several internal and external data sources. This role is responsible for enhancing, maintaining fraud strategies and also leveraging new vendor data in fraud rules. This individual has a direct and material impact on company financials and fraud risk net write-off goals.



  • Builds next generation of machine learning models and business strategies to prevent fraud losses
  • Manages multiple projects including daily investigations to fraud patterns and trends
  • Oversees ongoing competitive analysis to identify industry trends
  • Reviews and identifies fraud vulnerabilities at various touch points and develop effective solution for early detection
  • Advocates use of data analytics for decision making across various business partners
  • Collaborates with key partners and leadership to define and prioritize business needs to inform strategies
  • Generates insights and drive measurable results from insights derived by advanced data analytics
  • Drives continuous improvement of key business metrics in assigned business functional areas
  • Advocates for team by moving decisions forward and eliminating barriers

  • Manages direct reports, systems and projects to achieve unit goals in accordance with Company policies and practices
  • Prepares and analyze unit plans and reports
  • Provides leadership by exhibiting influence and expertise, thus affecting the results of the operating area
  • Creates an effective work environment by developing a common vision, setting clear objectives, expecting teamwork, recognizing outstanding performance and maintaining open communication
  • Develops staff through coaching, providing performance feedback, providing effective performance assessments and establishing performance and development plans


  • Maintains and enhances business strategies to prevent fraud losses
  • Ensures customer experience is best in class as a result of implemented strategies
  • Works closely with technology and finance teams in analyzing, gathering and utilizing data to make concise recommendations
  • Drives the documentation process to measure trends and identify opportunities for customers
  • Develops rules and guidelines for both internal and external partners when building out fraud strategies
  • Oversees the execution and compliance of workload within established guidelines across all areas of responsibility


  • Bachelor's Degree is required in Statistics, Computer Science, Mathematics, Operations Research or Engineering
  • 5+ years of experience in data science or relevant field
  • Proven ability to apply cutting-edge statistical techniques to large, complex data sets in order to solve business problems
  • Working experience and knowledge of any statistical/analytical/big data languages (SAS, R, Python, Spark, Hive)
  • Strong analytical and problem solving skills
  • Experience with key analytics methods and modeling techniques
  • Experience leading dynamic teams
  • Ability to collaborate with internal and external partners to drive projects and business needs

  • A Graduate Degree in Statistics, Computer Science, Mathematics, Operations Research, Engineering, Science
  • Retail or credit card industry experience

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