Customer Success Manager - Fraud/AML Strategy

3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries Deep understanding of fraud/AML use cases (e.g., transaction fraud, account takeover, synthetic identity fraud) Experience with machine learning-based detection systems and/or rule engines Strong analytical skills; proficient with SQL Experience in Python or R for data exploration Excellent verbal and written communication skills Ability to explain technical concepts to technical and non-technical stakeholders Confident in leading customer-facing discussions and executive presentations Highly organized with strong project ownership and time management skills Bachelor’s degree in a technical, analytical, or business-related field

Act as primary point of contact and trusted advisor for enterprise customers Understand client business models, fraud/AML risk exposure, and operational needs Align platform capabilities to client goals to drive measurable improvements Coordinate with internal teams for timely delivery of enhancements and issue resolution Translate customer insights into actionable feedback for roadmap planning Monitor detection performance metrics and support quarterly business reviews Educate clients on best practices in fraud/AML strategies and platform usage Represent the voice of the customer internally and the voice of our platform externally