Senior Customer Success Manager (Fraud/AML Strategy)
DataVisor
full-remoteseniorpermanentcustomer-successproduct-management Full remote Today via WTTJ
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Customer SuccessFraud PreventionAMLFinTechRisk AnalyticsMachine LearningRule EnginesSQLPythonExecutive Presentations
About the role
Role Overview
As a Senior Customer Success Manager (Fraud/AML Strategy), you’ll be a strategic partner to enterprise clients in FinTech, Banking, and E-commerce. You’ll lead customer engagements, monitor fraud detection performance, and collaborate with Product and Engineering to drive measurable client impact.
Responsibilities
- Serve as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value.
- Understand clients’ business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies.
- Monitor detection system performance metrics, support quarterly business reviews (QBRs), and proactively identify opportunities for expansion or deeper integration.
- Lead customer-facing discussions and help translate technical concepts for diverse stakeholders.
Requirements
- Experience working with machine learning–based detection systems and/or rule engines for fraud prevention.
- Strong ability to lead customer-facing and executive presentations.
- Deep knowledge of fraud/AML use cases such as:
- Transaction fraud
- Account takeover
- Promotion abuse
- Synthetic identity fraud
- Mule detection
- Strong analytical skills, including SQL; experience with Python or R for data exploration/investigation.
- 5+ years experience in fraud strategy, risk analytics, customer success, or fraud operations in fintech/banking/payments/e-commerce.
- Excellent written and verbal communication; ability to explain technical concepts to technical and non-technical stakeholders.
Nice to Haves
- Advanced degree in a technical/analytical/business-related field.
- Additional experience supporting fraud performance improvements through cross-functional collaboration with Product/Engineering.
About DataVisor
DataVisor provides solutions for fraud detection and compliance, helping enterprise customers reduce financial crime risk. The company operates in the FinTech, Banking, and E-commerce space, working with machine learning–driven detection systems and client-facing strategy to improve outcomes.
Scraped 7/30/2026