AML risk management intern supporting enhanced due diligence and financial - crime investigations at Royal Bank of Canada. Assessing high - risk clients, alerts, and referrals to mitigate money - laundering and regulatory risks.
About the role
- Senior Customer Success Manager guiding enterprise clients to optimize fraud detection and AML compliance. Leading customer engagements in FinTech, Banking, and E-commerce industries.
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
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
Benefits
- **Compensation:** Annual salary range of C$135,000 – $160,000, commensurate with experience.
- **Bonus, Health Insurance**
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