Fraud Analyst

Accountabilities • Regularly review, evaluate, and refine fraud signals to distinguish suspicious activity from legitimate users, including indicators such as IP spoofing, VPN usage, and unusual gameplay patterns.

• Own the fraud-related segments within the broader user segmentation system, determining how signals should be interpreted and monitoring the effectiveness of fraud categories over time.

• Analyze emerging fraud patterns and proactively identify changes needed to detection rules, segments, and verification processes.

• Partner with product teams to define and improve fraud verification approaches across different markets, considering solutions such as facial verification, ID scanning, and phone verification.

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

• Identify gaps in existing fraud signals and data sources, and recommend relevant third-party tools or solutions for the product roadmap.

• Translate analytical findings into practical fraud controls and collaborate with cross-functional stakeholders to ensure those controls remain effective as fraud tactics evolve.

Requirements

• 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.

Benefits

• Remote-friendly opportunity open to candidates based in Europe.

• Flexibility to work remotely while collaborating with a distributed international team.

• Opportunity to have direct influence on fraud detection strategy, user segmentation, and product decisions.

• Cross-functional collaboration with product, data, analytics, and other specialist teams.

• Exposure to evolving fraud prevention and user verification technologies across multiple markets.

• Opportunity to work on a growing digital rewards platform with a large and engaged user base.

• Warsaw is a preferred location, offering the opportunity to work more closely with team members based there.

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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