• Review and continuously refine fraud signals, adding, removing, and adjusting indicators to distinguish suspicious activity from legitimate users.

• Analyze signals such as IP spoofing, VPN usage, unusual gameplay patterns, and other behavioral indicators to identify potential fraudulent activity.

• Own the fraud-related components of the user segmentation system, including defining how signals should be interpreted and monitoring segment performance over time.

• Partner with product and data teams to determine appropriate verification approaches for different markets, including facial verification, ID scanning, phone verification, and other methods.

• Investigate users flagged for manual review, including ambiguous cases, and identify opportunities to make the review process more efficient and effective.

• Identify gaps in available fraud signals and assess third-party tools or solutions that could strengthen the product roadmap.

• Translate analytical findings into practical recommendations and operational fraud controls.

Requirements

• Hands-on experience using data to investigate fraud and influence fraud detection or prevention decisions.

• Experience designing, refining, or evaluating fraud signals, user segmentation frameworks, detection rules, or review processes.

• Strong analytical skills and the ability to investigate complex or ambiguous user behavior using data.

• Understanding of how fraud tactics evolve and an interest in continuously adapting detection approaches accordingly.

• Ability to collaborate effectively with product, data, and other cross-functional teams to turn analysis into actionable solutions.

• Strong problem-solving and critical-thinking skills, with a structured and detail-oriented approach to investigations.

• Ability to communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

• Professional working proficiency in English, with the ability to participate in meetings, work with documentation, and communicate clearly in a fast-paced international environment.

Benefits

• Remote working opportunity within Europe, with Warsaw preferred for collaboration with team members based there.

• Opportunity to take ownership of an important fraud analytics function within a growing product area.

• Direct exposure to product strategy, user segmentation, fraud prevention, and verification technologies.

• Collaboration with experienced product, data, and analytics professionals in an international environment.

• Opportunity to influence fraud detection processes and contribute to decisions across multiple markets.

• Exposure to evolving fraud patterns, analytical challenges, and emerging verification solutions.

• A role where data-driven insights have a direct impact on product and business decisions.