DataVisor
Finance • Fintech • SaaS
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
Customer Success Manager, Fraud/AML Strategy
Job not on LinkedIn
September 24
DataVisor
Finance • Fintech • SaaS
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
📋 Description
• Serve as a strategic partner to key enterprise clients to drive ROI through fraud detection, AML compliance, and operational optimization • Lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce • Monitor detection system performance and advise on best practices for machine learning models, rules engine, and device intelligence signals • Identify opportunities to reduce fraud or money laundering risks and streamline client operations • Coordinate with Product, Engineering, and Modeling teams to advocate for customer needs and ensure timely delivery of enhancements and issue resolution • Support onboarding, adoption, and long-term value realization for assigned customers • Translate customer insights into actionable product feedback and roadmap priorities • Support quarterly business reviews and proactively identify opportunities for expansion or deeper integration • Represent the company externally at industry events, customer workshops, and solution showcases
🎯 Requirements
• 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 • 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
🏖️ Benefits
• Base salary and bonus
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