Define fraud prevention strategy across real-time payment channels, including risk appetite and control coverage.
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.
Maintain disciplined control testing, monitoring, and adherence to risk and regulatory standards.

4+ years in fraud risk, payments risk, or financial crimes
Expertise in: Account takeover, social engineering, and transaction fraud risks within retirement and workplace channels
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 Fraud Strategy Analyst

Key skills