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Customer Success Manager - Fraud/AML Strategy

1 month, 3 weeks ago
Ireland
Full-time
Mid Level
Customer Success Manager
Data Science and Analytics
Machine Learning Python R SQL
Apply Now
DataVisor

DataVisor

DataVisor delivers a powerful AI-powered fraud and risk management platform for real-time response to fraud attacks, providing security analytics for consumer-facing web and mobile sites.

IT Services
51-250
Founded 2013
$94M raised
View All Jobs 10

Description

  • Serve as the primary point of contact and trusted advisor for assigned enterprise customers.
  • Lead customer engagements focused on onboarding, adoption, and long-term value realization.
  • Understand client business models, fraud and AML risk exposure, and operational needs to define success criteria.
  • Monitor detection system performance and support quarterly business reviews.
  • Advise clients on best practices for fraud and AML strategies, platform usage, and return on investment.
  • Partner with clients to align platform capabilities to their goals and improve fraud prevention, loss reduction, and operational efficiency.
  • Coordinate with Modeling, Product, and Engineering teams to deliver enhancements, resolve issues, and optimize outcomes.
  • Translate customer insights into actionable feedback for internal roadmap planning and product improvements.
  • Represent the voice of the customer internally and the platform externally through workshops, events, and solution showcases.
  • Identify opportunities for expansion, deeper integration, and risk reduction across the customer portfolio.

Requirements

  • 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations in fintech, banking, payments, or e-commerce.
  • Deep understanding of fraud and 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 with proficiency in SQL and experience in Python or R for data exploration and investigation.
  • Excellent verbal and written communication skills with the ability to explain technical concepts to technical and non-technical stakeholders.
  • Confidence in leading customer-facing discussions and executive presentations.
  • Strong project ownership, organization, and time management skills with the ability to manage multiple enterprise accounts simultaneously.
  • Bachelor’s degree in a technical, analytical, or business-related field; advanced degree is a plus.
  • EU citizen and resident of Ireland.

Benefits

  • Annual salary range of EUR 40,000-80,000, commensurate with experience.
  • Bonus eligibility.
  • Remote-based position.
  • Opportunity to work with enterprise Fortune 500 clients.
  • Exposure to a leading AI-powered fraud and risk platform.

Interested in this position?

Apply directly on the company website

Apply Now

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