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Senior Customer Success Manager - Fraud/AML Strategy

This senior customer success role partners with enterprise fintech, banking, payments, and e-commerce clients to optimize fraud and AML outcomes, improve adoption, and drive measurable ROI. It requires 5+ years of relevant experience, strong analytical skills, and the ability to lead executive customer engagements.

About the job

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.
  • Align fraud detection and AML platform capabilities to client goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency.
  • Coordinate with Modeling, Product, and Engineering teams to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes.
  • Translate customer insights into actionable feedback for 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 fraud/AML strategy and platform usage best practices to maximize return on investment.
  • Represent the voice of the customer internally and the platform externally through 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.
  • Deep understanding of transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection.
  • Experience with machine-learning-based detection systems and/or rule engines for fraud prevention.
  • Strong analytical skills, including proficiency with SQL and experience using 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 leading customer-facing discussions and executive presentations.
  • Strong organization, project ownership, and time-management skills, with the ability to manage multiple enterprise accounts simultaneously.
  • Bachelor's degree in a technical, analytical, or business-related field; an advanced degree is a plus.

Compensation and Benefits

  • Annual salary range: C$135,000–$160,000, commensurate with experience.
  • Bonus.
  • Health insurance.

Skills

Fraud Strategy, AML, Risk Analytics, Machine Learning, Rule Engines, SQL, Python, R, Device Intelligence, Data Exploration

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