# Senior Customer Success Manager - Fraud/AML Strategy

**Company:** [DataVisor](https://hotfix.jobs/companies/datavisor)
**Location:** Remote
**Role:** Customer Success
**Salary:** CA$135k – CA$160k/yr
**Experience:** 5+ years
**Skills:** Fraud Strategy, AML, Risk Analytics, Machine Learning, Rule Engines, SQL, Python, R, Device Intelligence, Data Exploration
**Posted:** 2026-07-24

> 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.

## Job Description

## 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.

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