Fraud Analyst

As a Fraud Analyst, you will play a key role in protecting a rapidly growing digital rewards platform and ensuring users are accurately segmented based on legitimate activity and potential fraud. You’ll investigate evolving fraud patterns and turn data into practical detection and prevention strategies. Working closely with product, data, and analytics colleagues, you’ll help shape the signals and controls used to identify suspicious behavior. You’ll also contribute to verification strategies across different markets, adapting approaches to local requirements and fraud trends. The role combines hands-on investigation, analytical problem-solving, and operational decision-making. You’ll have the opportunity to influence product priorities while helping build a fraud detection system that evolves as user behavior changes.

• Hands-on professional experience using data to investigate fraud and influence fraud detection or prevention decisions.
• Experience designing, evaluating, or improving fraud signals, user segmentation models, detection rules, or manual review processes.
• Strong analytical and investigative mindset, with the ability to identify patterns, anomalies, and gaps in available data.
• Understanding of how fraud behaviors and tactics evolve, with an interest in continuously adapting detection strategies.
• Ability to turn analytical insights into practical, operational fraud controls and recommendations.
• Strong collaboration and communication skills, with experience working effectively with product, data, and other cross-functional teams.
• Comfortable working in a changing environment where fraud detection approaches and verification methods need to evolve over time.
• Professional English proficiency sufficient for meetings, documentation, tools, and written communication.
• Experience with fraud detection tools, identity verification solutions, user-risk segmentation, or third-party fraud data providers is an advantage.