Owns global sanctions, PEP, and negative news screening strategy at Stripe, designs financial crime controls, embeds risk into product roadmaps, and drives AI-powered improvements while partnering cross-functionally. Requires 7+ years in fintech risk/compliance with deep sanctions expertise.
Salary not listed
Remote7+ YOESecurity Engineering
About the role
Responsibilities
Lead Stripe's global sanctions and AML screening strategy — setting standards for screening control design and infrastructure development, translating requirements from OFAC, EU, UN, OFSI, PEP screening, and negative news screening into actionable programs and controls.
Own design and ongoing improvement of financial crime controls, including sanctions, PEP, negative news screening, and digital asset safeguards; improve detection coverage and performance as products and threats evolve.
Embed screening risk requirements into product and infrastructure roadmaps across Product, Engineering, Data Science, Compliance, Legal, and Operations.
Drive screening infrastructure and tooling by owning requirements, leading execution, and maintaining effectiveness metrics; define KPIs, KRIs, and monitoring thresholds.
Continuously assess and improve screening controls and systems, identify gaps, recommend enhancements, and lead delivery.
Champion technology-forward approach leveraging AI tools, self-serve data analytics, and model governance best practices.
Stay informed on industry practices and regulatory developments; represent programs to regulators, partners, and auditors.
Minimum Requirements
7+ years professional experience in Financial Services, Payments, or Fintech, with 5+ years in risk, compliance, or product enablement.
Deep expertise in global sanctions compliance (OFAC, EU, UN, OFSI).
Strong understanding of screening program design and control execution.
Strong AML screening expertise for PEP and negative news in multi-jurisdiction environments.
Proven ability to design, implement, and operationalize financial crime standards and controls globally.
Familiarity with model governance (documentation, monitoring, validation).
Technology-forward mindset with AI, automation, and analytics in risk/compliance.
Experience developing risk solutions with cross-functional teams.
Preferred Qualifications
Experience leading AML, Sanctions, or Transaction Monitoring initiatives (vendor selection, watchlist management, false positive tuning).
Proficiency with SQL for data analysis and risk insights.
Experience with crypto/digital asset financial crime risks.
Advanced degree or certifications (CAMS, CGSS, CFCS).
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