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Sr. Customer Success Manager - Fraud/AML Strategy

6 months, 4 weeks ago
United States, Canada
Full-time
Senior
Customer Success Manager
Cybersecurity
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, 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.
  • Lead customer engagements across a portfolio of Fortune 500 clients to drive measurable improvements in fraud prevention, loss reduction, and operational efficiency.
  • Monitor detection system performance and metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration.
  • Advise clients on best practices for using machine learning models, rule engines, and device intelligence signals to optimize detection outcomes.
  • Coordinate with Modeling, Product, and Engineering teams to ensure timely delivery of enhancements, issue resolution, and translation of customer feedback into roadmap improvements.
  • Perform data-driven analysis and investigations to inform recommendations and support customer decisioning.
  • Represent the voice of the customer internally and externally, including participation in industry events, customer workshops, and solution showcases.

Requirements

  • 5+ 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, and 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 using Python or R for data exploration and investigation.
  • Excellent verbal and written communication skills with ability to explain technical concepts to technical and non-technical stakeholders.
  • Confidence leading customer-facing discussions and executive presentations.
  • Highly organized with strong project ownership and time management skills; ability to manage multiple enterprise accounts simultaneously.
  • Bachelor’s degree in a technical, analytical, or business-related field; advanced degree is a plus.

Benefits

  • Annual salary range USD $100,000–$150,000, commensurate with experience.
  • Bonus opportunity.
  • Stock options.
  • Retirement plan.
  • Health insurance.
  • Remote-based role (U.S. or Canada), preferably located in the Pacific Time Zone.

Interested in this position?

Apply directly on the company website

Apply Now

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