Data Analyst

Accountabilities • 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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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