The opportunity
The Financial Crime, Compliance and Risk Oversight (FinCRO) Investigations Management team provides second-line-of-defence (2LoD) financial crime risk oversight and coordinates casework across Stripe’s EMEA region. The team manages user risk and synthesises investigative…
What you'll do
Review high-risk investigative casework and provide 2LoD oversight across a: wide variety of financial crime risk types
Prepare and submit Luxembourg Suspicious Transaction Reports (STRs) to the: Cellule de renseignement financier (CRF) for Bridge Building S.A., working closely with the MLRO and in line with established governance
Oversee local customer risk decisions for Bridge Building S.A., including: matters escalated through country- or entity-specific risk management forums, in close partnership with the MLRO and Investigations Leads
Review high-risk sanctions investigations, such as potential matches against: relevant regional lists, and handle related submissions
Use and evolve AI and agentic tools to enhance casework research and: analysis, surface actionable intelligence, and improve investigative workflows while applying expert judgement and maintaining human oversight of risk decisions and regulatory filings
Assess casework to produce clear investigative analyses, intelligence briefs,: and other decision-ready outputs that identify threats, support reporting workstreams, and inform MLROs, RCOs, and other stakeholders
What they're looking for
- + years of experience in investigative roles within financial crime, AML,: risk, intelligence research, or a related field
- Fluency in English and French
- Demonstrated experience preparing regulatory disclosures, including direct: experience with Luxembourg STR filings and goAML
- A deep understanding of financial technologies, including payments,: cryptocurrency, stablecoins, and Banking-as-a-Service products
- Strong knowledge of Luxembourg and EU AML, terrorist financing, and sanctions regulations
- Stakeholder management skills, including the ability to work effectively with: MLROs and communicate complex risk decisions clearly
- Excellent research and writing skills and the ability to produce concise, decision-ready investigative outputs
- The ability to synthesise large amounts of information, including transaction: data, using tools such as SQL, Excel, and AI