About the team

The Financial Crimes Program Integrity & Effectiveness (FC PIE) team designs and scales the operating system of Stripe’s Financial Crimes program. We build the standards, execution frameworks, and feedback loops that make investigations and the FC Program faster, smarter, and AI-native. Our focus is driving measurable program effectiveness, investigative velocity, and scalable risk mitigation as Stripe grows.

• What you’ll do

Depending on your expertise, you will lead efforts in either Standards & Enablement (designing and scaling the "how" of investigations to manage risk) or FC Performance (integrating threat and typology insights enabling measurable effectiveness). You will translate complex regulatory requirements into executable standards, manage cross-functional incidents, and partner with Engineering to deploy AI-powered investigative solutions.

• Design High-Performance Standards: Translate AML and Sanctions policies into executable standards and design high-performance execution frameworks that scale globally.

Drive Program Performance & Resilience: Continuously strengthen program resilience by identifying systemic gaps, improving control coverage, and embedding sustainable standard enhancements that improve quality and reduce rework. Define and track program health metrics (quality, consistency, escalation rates, cycle time) to proactively identify and resolve structural weaknesses.

• Operationalize Intelligence into Detection Lift: Translate emerging threat intelligence into detection enhancements, process adjustments, and measurable risk coverage improvements across investigations and controls.
• Optimize Risk-Adjusted Expansion: Design scalable risk frameworks that enable responsible expansion into higher-risk segments by optimizing controls, review strategies, and automation coverage .
• Who you are
• We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
• Experience: 7+ years of experience in Financial Crimes, Compliance, or Risk Management, with a focus on program management, enablement, or strategy (fintech or high-growth environments preferred).
• Domain Expertise: Deep understanding of AML and Sanctions typologies and the ability to operationalize threat intelligence into measurable detection lift and execution frameworks.
• Policy to Standard Translation: Proven track record of taking high-level compliance policies and "designing" them into highly effective, 1LoD operational standards.
• Program Effectiveness & Resilience: Experience evaluating program health and demonstrating structural soundness during external reviews, banking partner due diligence, or regulatory exams.
• Program-Level Remediation: Demonstrated ability to drive durable, program-level improvements that prevent recurrence, reduce operational friction, and ensure the timely closure of systemic gaps.

Problem Solving: Ability to navigate non-binary risk decisions, such as optimizing risk-adjusted expansion for high-risk business segments while maintaining rigorous program integrity. Additionally, the ability to navigate varying global regulations to build unified, scalable core programs.

• Governance Mindset: Experience managing incident remediation and the closure of audit board issues through systemic process enhancements rather than temporary fixes.
• Cross-Functional Influence: Demonstrated ability to partner with Engineering, Data Science, Controls, and Product to implement AI-native capabilities and technology-driven solutions into risk systems.
• Global Compliance Exposure: Experience working with organizations operating on a global scale and required to adhere to multiple jurisdictional requirements.
• Technical Proficiency: Experience with data analysis tools (SQL) to measure program effectiveness, track health metrics, and identify coverage gaps.
• AI/Automation Experience: Familiarity with implementing or testing AI-native investigative capabilities (e.g., defining performance benchmarks for LLM prompt tuning or auto-adjudication).
• Specialized Typologies: Experience with crypto/digital asset compliance, financial services providers, fundraisers, and other high-risk industries.

Law Enforcement & Public-Private Partnerships: Experience engaging with law enforcement agencies (e.g., FBI, IRS-CI, DEA, HSI) and participating in public-private partnership initiatives to share typologies and enhance financial crime detection capabilities.