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Revolut is seeking a Fraud Risk Manager to strengthen its internal fraud risk framework and lead investigations across the organization. The role sits within Revolut's Risk function, which operates across all products and regions to monitor performance, identify emerging risks, and ensure safe operations.
Key responsibilities include managing internal fraud risk proactively by conducting fraud risk assessments with first-line-of-defense teams to identify, remediate, and document risks. You will coach the business on designing and implementing preventative and detective controls, and assist in developing internal fraud risk policies, procedures, and key risk indicators (KRIs). The role involves monitoring and reporting internal fraud risk against established limits and thresholds, escalating KRI breaches to risk owners and group risk teams for timely resolution.
You will own the internal fraud incident response process, conducting and managing confidential internal investigations while ensuring evidence integrity and control deficiency remediation. Additional duties include recording risk events, delivering reports to senior management, maintaining fraud risk management tools and systems, and developing internal fraud awareness and training materials. You will also conduct presentations and workshops on risk identification and mitigation.
The ideal candidate brings 5+ years of internal fraud and risk management experience within financial services, with expertise in fraud risk legislation and regulation (UK or global). You must have experience conducting internal/employee fraud investigations, sound judgment to identify and resolve problems, and the ability to rapidly develop matter expertise in both technical and non-technical areas. Strong communication skills are essential for presenting technical matters to senior leaders and preparing training materials to enhance first-line decision-making.
Nice-to-have qualifications include CFE or ICA Diploma in Financial Crime certification, forensic investigation experience, high proficiency in data analytics, and knowledge of software development lifecycle risks.
