Global Aml Lead, Risk Operations

Stripe Stripe · Fintech · United States · 3313 SDC - Financial Crimes

Stripe is seeking a Global AML Lead to own and evolve its AML function. This role involves leading regional teams, driving AML transformation by moving beyond legacy tools towards AI-powered detection and investigation workflows, and partnering with Engineering and Product to translate regulatory requirements into tooling. The lead will ensure processes are designed for audit trails and explainability, identify AI/automation use cases, and maintain awareness of global AML regulations. Requires 15+ years in financial crimes/AML/risk compliance with senior leadership experience, a proven track record of AML program transformation, deep expertise in global AML regulations, and strong AI/technical acumen to engage with engineers on detection models and tooling.

What you'd actually do

  1. Lead and develop managers and analysts across regions, ensuring investigative quality, consistency, and throughput at scale
  2. Drive the AML transformation roadmap, move beyond legacy vendor tools toward AI-powered detection and investigation workflows
  3. Partner with Engineering and Product teams to translate regulatory requirements into tooling inputs, challenge detection logic, and lead operational readiness for new capabilities
  4. Ensure every process and system change is built with audit trails, explainability, and examiner-readiness by design; lead the function through regulatory exams and supervisory inquiries
  5. Identify high-value use cases for AI and automation, shape build vs. buy decisions, and build a team culture that embraces technology as a force multiplier

Skills

Required

  • 15+ years of experience in financial crimes, AML, or risk compliance
  • Senior leadership experience managing cross-regional teams
  • Proven track record of transforming AML programs and improving how the function operates
  • Deep expertise in global AML regulations across multiple jurisdictions (BSA/FinCEN, EU AMLD, FCA, MAS, and others)
  • Strong AI and technical acumen, able to engage credibly with engineers on detection models, automation architecture, and tooling decisions
  • Experience evaluating or transitioning from third-party AML vendors to in-house or AI-powered solutions
  • Effective communicator across audiences, regulators, senior leadership, and engineering teams

Nice to have

  • CAMS or CFE certification
  • Hands-on experience with ML-based transaction monitoring or AI-assisted investigation tools
  • Background at a global payments platform or fintech at scale

What the JD emphasized

  • AI-powered detection and investigation workflows
  • AI and automation
  • AI and technical acumen
  • evaluating or transitioning from third-party AML vendors to in-house or AI-powered solutions