Senior Fraud Strategy Manager – Debit

Responsibilities

• Lead the strategy, execution, and continuous optimization of fraud controls across debit cards, ACH-like products, and real-time payment rails
• Design and manage fraud rules, decision logic, and detection strategies within real-time decisioning platforms
• Drive enhancements and implementation of fraud rules engines and decisioning platforms in partnership with engineering
• Monitor and improve fraud detection, false positives, and client friction through ongoing control tuning and performance management
• Use analytics and model insights to identify trends, refine strategies, and improve detection effectiveness
• Collaborate with Product, Engineering, Risk, and Operations to embed fraud controls into customer journeys and new product launches
• Communicate fraud risk, performance, and trade-offs clearly through strong executive storytelling
• Build and manage a high-performing team of fraud strategy and analytics professionals
• Maintain disciplined control testing, monitoring, and adherence to risk and regulatory standards

• 10+ years in fraud risk, payments risk, or financial crimes
• Deep expertise in:
  Debit card fraud (CNP and CP), Real-time payments (Zelle, RTP, P2P, Bill Pay and other emerging payments)
• 5+ years of people management experience leading high-performing teams
• Proven experience managing real-time fraud decisioning environments and rules strategies
• Strong experience partnering across Product, Engineering, Risk, and Operations
• Bachelor’s degree in Statistics, Mathematics, Data Science, Finance, Computer Science, or a related field
• Graduate degree preferred
• Expertise in fraud rules engines / decisioning platforms
• Strong analytical capabilities (data analysis, segmentation, performance optimization)
• Working knowledge of fraud models / machine learning concepts and model governance
• Ability to translate data into actionable fraud strategies and business decisions
• Strong experience with analytical tools such as Python, R, SAS, SQL, and platforms such as Tableau or Power BI