- Analyze fraud trends, attack patterns, account behavior, transaction activity, payment flows, model outputs, and other risk signals to identify emerging threats and control gaps.
- Design, tune, test, and evaluate fraud rules, risk scoring strategies, detection logic, alerts, and decisioning controls to improve fraud prevention and detection outcomes.
- Monitor fraud performance metrics, including fraud losses, fraud capture, false positives, manual review volume, customer friction, and control effectiveness, and recommend improvements.
- Conduct root cause analysis on fraud events, escalations, anomalous activity, missed fraud, and control failures, translating findings into specific corrective actions.
- Partner with Product, Engineering, Data Science, Analytics, Compliance, Customer Care, and Operations to implement fraud control enhancements.
- Support the fraud capability roadmap by identifying opportunities to improve rules, scoring, AI/ML model performance, identity verification, and vendor tooling.
- Prepare clear analysis, recommendations, and executive-ready summaries that explain fraud risks, tradeoffs, and expected impact.
- Support testing, launch, and optimization of new fraud tools, vendor capabilities, and process improvements.
- Maintain SOPs, reporting routines, control documentation, and governance artifacts.
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