Set Fraud Strategy & Coverage: Define fraud prevention strategy across real-time payment channels, including risk appetite and control coverage.
Own Real-Time Decisioning: Design and manage fraud rules, decision logic, and detection strategies within real-time decisioning platforms.
Lead Platform & Capability Build: Drive enhancements and implementation of fraud rules engines and decisioning platforms in partnership with engineering.
Optimize Performance Outcomes: Monitor and improve fraud detection, false positives, and client friction through ongoing control tuning and performance management.
Leverage Data & Models: Use analytics and model insights to identify trends, refine strategies, and improve detection effectiveness.
Partner Cross-Functionally: Collaborate with Product, Engineering, Risk, and Operations to embed fraud controls into customer journeys and new product launches.
Influence Senior Stakeholders: Communicate fraud risk, performance, and trade-offs clearly through strong executive storytelling.
Lead & Develop Team: Build and manage a high-performing team of fraud strategy and analytics professionals.
Ensure Strong Governance: 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: Account takeover, social engineering, and transaction fraud risks within retirement and workplace channels
6+ 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.

Senior Manager, Fraud Analytics – Operations

Key skills