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DataVisor

Real-time fraud detection & risk management

Customer Success Manager - Fraud/AML Strategy

Customer SuccessConfirmed live in the last 24 hours
Full-timeRemote in IrelandRemote

About the Job

Requirements

  • At least 3 years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce.
  • Deep understanding of fraud and anti-money laundering 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.
  • Proficiency with SQL and experience using Python or R for data exploration and investigation.
  • Ability to explain technical concepts to technical and non-technical stakeholders.
  • Ability to lead customer-facing discussions and executive presentations.
  • Strong project ownership and time-management skills, including the ability to manage multiple enterprise accounts simultaneously.
  • Bachelor’s degree in a technical, analytical, or business-related field.
  • Must be an EU citizen and resident of Ireland.

Responsibilities

  • Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization.
  • Understand clients’ business models, fraud and anti-money-laundering risk exposure, and operational needs to define success criteria and shape tailored solution strategies.
  • Partner with clients to align fraud detection and anti-money-laundering platform capabilities with their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency.
  • Coordinate with Modeling, Product, Engineering, and other internal teams to deliver enhancements, resolve issues, and optimize detection outcomes in a timely manner.
  • Translate customer insights into actionable feedback for internal roadmap planning and product improvements.
  • Monitor detection performance metrics, support quarterly business reviews, and identify opportunities for expansion or deeper integration.
  • Educate clients on fraud and anti-money-laundering strategies and platform usage to maximize return on investment.
  • Represent the customer internally and the platform externally, including through industry events, customer workshops, and solution showcases.

Desired Qualifications

  • An advanced degree.

About the Company

DataVisor

Real-time fraud detection & risk management

DataVisor offers a fraud detection and risk management platform for fintech and cybersecurity, helping financial institutions, e-commerce platforms, and online services detect and prevent fraudulent activity in real time. The core product integrates with clients’ existing data systems through APIs, supporting real-time or batch data processing to identify suspicious patterns. Machine learning analyzes large datasets to spot indicators of fraud and continuously improve detection accuracy. The company differentiates itself by providing a flexible, API-based integration that fits into clients’ current workflows and data environments, enabling real-time prevention across diverse use cases. Revenue comes from a subscription model that gives clients ongoing access to the platform and updates. The goal is to help organizations protect their operations and customers by staying ahead of increasingly sophisticated fraud schemes.

Company size
51-200
Company stage
Late Stage VC
Total funding
$94.5M
Headquarters
Mountain View, CA
Founded
2013

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