Sr. Customer Success Manager - Fraud/AML Strategy

Posted about 1 month agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: United States, Canada, EST

🔍 Industry: Fintech, Banking, Payments, E-commerce

🏢 Company: DataVisor👥 101-250💰 about 2 years agoArtificial Intelligence (AI)Fraud Detection Big Data Machine Learning Cyber Security

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLData AnalysisMachine LearningCommunication SkillsAnalytical SkillsCustomer serviceRESTful APIsAccount ManagementRisk ManagementData visualizationData modelingData analyticsCustomer supportCustomer SuccessSaaS

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, 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

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 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

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