Data Analyst

📋 Description

• Review and continuously refine fraud signals, adding, removing, and adjusting indicators to
• Analyze signals such as IP spoofing, VPN usage, unusual gameplay patterns, and other behavioral
• Own the fraud-related components of the user segmentation system, including defining how signals
• Partner with product and data teams to determine appropriate verification approaches for different
• Investigate users flagged for manual review, including ambiguous cases, and identify opportunities
• Identify gaps in available fraud signals and assess third-party tools or solutions that could

🎯 Requirements

• Hands-on experience using data to investigate fraud and influence fraud detection or prevention
• Experience designing, refining, or evaluating fraud signals, user segmentation frameworks
• Strong analytical skills and the ability to investigate complex or ambiguous user behavior using
• Understanding of how fraud tactics evolve and an interest in continuously adapting detection
• Ability to collaborate effectively with product, data, and other cross-functional teams to turn
• Strong problem-solving and critical-thinking skills, with a structured and detail-oriented approach

🎁 Benefits

• Remote working opportunity within Europe, with Warsaw preferred for collaboration with team members
• Opportunity to take ownership of an important fraud analytics function within a growing product
• Direct exposure to product strategy, user segmentation, fraud prevention, and verification
• Collaboration with experienced product, data, and analytics professionals in an international
• Opportunity to influence fraud detection processes and contribute to decisions across multiple
• Exposure to evolving fraud patterns, analytical challenges, and emerging verification solutions.