DataVisor is seeking a Customer Success Manager - Fraud/AML Strategy to serve as a strategic partner for our key enterprise clients. You will help Fortune 500 companies in FinTech, Banking, and E-commerce drive ROI through advanced fraud detection, AML compliance, and operational optimization using our industry-leading platform.

What You'll Do

Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization.
Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies.
Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency.
Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes.
Translate customer insights into actionable feedback for internal roadmap planning and product improvements.
Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration.
Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment.
Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases.

What We're Looking For

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 such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection.
Experience working with machine learning-based detection systems and/or rule engines for fraud prevention.
Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation.
Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders.
Confident in leading customer-facing discussions and executive presentations.
Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously.
Bachelor’s degree in a technical, analytical, or business-related field.