Fraud Strategy Data Analyst
Core
Enterprise-level analytical insight into fraud decisioning performance, risk reduction, customer experience, and operational efficiency across deposits, digital, payments, and authentication.
Role type
Senior IC fraud strategy data analyst
Builds
Actionable insights and performance frameworks for fraud controls and decisioning optimization
Domain
Financial services / Fraud risk management
Deliverable
dashboards & analysis
Required skills
SAS, SQL, Python, fraud tradeoff analysis, loss avoidance modeling, root-cause investigation, performance measurement, executive reporting
Preferred skills
Fraud risk and operations management knowledge, forecasting fraud loss trends, project management
Technologies
SAS, SQL, Python, Microsoft Office
Responsibilities
Extract and analyze large-scale fraud data to support decisioning and strategic business decisions; Evaluate fraud decisioning performance, alert effectiveness, and queue dynamics to identify optimization opportunities; Develop and apply frameworks to quantify the impact of fraud controls on loss reduction and operational efficiency; Engineer methodologies for measuring fraud benefit, losses avoided, and business impact; Partner with Risk, Operations, and AI/ML teams to align priorities and validate findings; Translate complex analytical findings into executive-ready recommendations for strategy and investment decisions.
Seniority
Senior, hands-on IC