• Financial Crime Operations is at the forefront of Revolut’s efforts to keep customers and their money safe
• Team members work directly with customers to resolve issues and flag potential concerns
• You’ll help reduce fraud losses by identifying emerging fraud threats, monitoring financial crime risks, and maintaining our systems and controls, while ensuring a positive customer experience
• Monitoring fraud risk throughout the customer lifecycle to provide timely detection of emerging patterns in criminal activity
• Analyzing fraudster profiles and types of fraud being encountered (synthetic identities, money mules, etc.)
• Translating complex fraud risk scenarios into scalable, tech-driven solutions
• Driving fraud risk reviews, control gap analysis, and remediation plans
• Collaborating cross-functionally to execute on high-impact fraud initiatives that reduce losses
• Enhancing customer experience by identifying and remediating customer detriment caused by fraud controls while improving fairness, transparency, and complaint handling
• Maintaining oversight of outsourced and insourced fraud controls, ensuring SLAs are met and controls are effective via targeted testing
• Advising Product and Operations on fraud risks in new launches and expansions
• Developing and optimising fraud prevention strategies that balance customer experience with loss mitigation
• Strengthening 1

LoD fraud governance by documenting risks, controls, and residual exposures clearly and consistently

• 4+ years of experience in fraud risk or advisory supporting the first line of defence
• Knowledge of fraud risks associated with payments, banking, and/or investments
• Expertise in fraud typologies, controls, and regulatory frameworks
• Experience across retail and business financial services
• A proven track record of delivering fraud risk assessments, gap remediation, and fraud prevention strategies
• Experience with AML, sanctions, or broader financial crime
• Exposure to crypto, payments, or investment products

Proficiency in using analytical tools (e.g., SQL, Python, Looker)