Risk Operations Manager

Description

Rapyd has unified payments, payouts and fintech on one worldwide platform, and we’re assembling the world’s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.

We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let’s build the future of fintech together.

Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, Twitter

We’re looking for a Risk Operations Manager who is part architect, part investigator, and part AI strategist. In this senior individual contributor role, you will take full ownership of Rapyd’s transaction monitoring framework — designing, building, and optimizing the systems, rules, and AI-driven workflows that prevent financial crime while keeping legitimate commerce flowing. You will manage the framework end-to-end, from rule logic and scenario design to AI agent deployment and operational SLA governance, and approach challenges like high false-positive rates as solvable engineering problems. While you won’t manage a team directly, you will shape how the team operates, the tools they use, and the intelligence of those tools over time.

Key Responsibilities

Framework Design & AI Integration

• Lead the design and continuous improvement of Rapyd’s Transaction Monitoring framework, including rule sets, scenario libraries, risk typologies, and detection logic across all regulated markets (EU, UK, APAC, Africa, LATAM).
• Design and implement automated Risk and Compliance operational workflows to reduce manual touchpoints, eliminate redundancy, and enforce SLA compliance at scale.
  
  

• Conduct and oversee complex, high-risk TM investigations involving AML, CTF, fraud, sanctions evasion, and other financial crime typologies relevant to global payment flows.
• Drive the full investigation lifecycle: alert review, case enrichment, decision logic, escalation, SAR/STR drafting, and regulatory filing drafting across multiple jurisdictions.
• Define and enforce investigation quality standards, documentation frameworks, and case management best practices that scale across a global team.
• Proactively hunt for emerging risks using transaction pattern analysis, open-source intelligence, and market trend monitoring.
• Conduct various ad—hoc tasks, related to Compliance and Risk Operations, including investigations and reviews, research and data analyses, checks and verifications, migrations & dashboards and other related tasks, cases and projects.
  
  

• Serve as the internal subject matter expert (SME) on TM technology and AI tooling, advising Compliance leadership, Risk, Product, and Engineering on detection capabilities and gaps.
• Partner with Data, Engineering, and Product teams to integrate TM signals into broader risk decisioning pipelines and merchant lifecycle management.
• Prepare executive-level reporting on TM performance, risk trends, and framework improvements — distilling complexity into clear narratives that inform strategic decisions.
  
  

• 3+ years of experience in a global fintech or global financial institution in a Transaction Monitoring, AML, Financial Crime, or Risk Operations capacity.
• Demonstrable experience designing or significantly improving a TM framework with AI/automation.
• Hands-on experience with process automation- workflow automation platforms, or scripting-based automation.
• Direct experience design AI agents in a compliance, fraud, or risk context at a large or regulated institution.
• Solid understanding of global AML/CTF regulations and typologies relevant to payments, e-money, and fintech: layering, smurfing, trade-based ML, account takeover, merchant fraud, and more.
• Strong analytical and investigative skills. Excellent attention to detail and ability to work with large datasets.
• Proficiency in using transaction monitoring and case management systems.
• Effective communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Strong organizational and time management skills.
• English – full proficiency.
  
  

• Exposure to NLP or LLM-based tools applied to compliance use cases (e.g., automated narrative generation, adverse media processing, intelligent alert summarisation).
• Experience in payments-specific risk environments: acquiring, processing, issuing, ISO/PayFac risk, marketplace fraud, cross-border payment flows.
• Regulatory exposure across multiple jurisdictions — especially EU (AMLD5/6), UK FCA, MAS Singapore, HKMA, African/LATAM/APAC regulatory frameworks.
• Multi-lingual capability