The role partners closely with Fraud Operations, Risk, Product, Technology, and Model Risk teams to support effective fraud loss mitigation, customer experience protection, and regulatory compliance
Job Summary
The role partners closely with Fraud Operations, Risk, Product, Technology, and Model Risk teams to support effective fraud loss mitigation, customer experience protection, and regulatory compliance.
The incumbent will act as a subject matter expert in fraud strategy, leveraging advanced analytics, rules-based frameworks, and machine learning techniques to balance fraud losses, false positives, and operational efficiency.
This senior individual contributor role requires improving analytical processes and contributing to the development and enhancement of fraud strategies while mentoring junior analysts.
Matching Summary
The role partners closely with Fraud Operations, Risk, Product, Technology, and Model Risk teams to support effective fraud loss mitigation, customer experience protection, and regulatory compliance.
Skills & Requirements
Must-have
fraud prevention analytics
advanced analytics and machine learning
fraud strategy development
large complex dataset analysis
fraud performance management
SAS SQL Python skills
Nice-to-have
project and process management
mentoring junior analysts
strong communication and organizational skills
collaboration with cross-functional teams
Key Requirements
6–10 years analytics experience in financial services fraud prevention
Bachelor’s degree in quantitative or related discipline or equivalent experience