[Hiring] Customer Success Manager - Fraud/AML Strategy @DataVisor

Role Description

As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You’ll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.

• 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.

This is a remote-based position and will be located in Ireland.

Qualifications

• 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; advanced degree a plus.

Requirements

• EU Citizen, residence of Ireland.

Compensation

• Annual salary range of EUR 40,000-80,000, commensurate with experience.