Fraud Analytics Analyst: Own Signals (Remote Europe)

Jobgether SRL; Schweiz; À distance; CHF 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Remote work within Europe

Résumé du poste

Jobgether SRL in Switzerland is seeking a Data Analyst to own the fraud analytics within a growing user segmentation system. You will analyze behavioral and fraud-related signals to distinguish legitimate users from suspicious activity and support product decisions.

Collaborating with product, data, and analytics teams, you’ll refine detection signals, evaluate verification methods across markets, and propose practical fraud controls to reduce risk while enabling growth.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Fraud analytics

Data investigation

Cross-functional collaboration

Analytical thinking

Communication

Description du poste

Jobgether SRL in Switzerland is seeking a Data Analyst to own the fraud analytics within a growing user segmentation system. You will analyze behavioral and fraud-related signals to distinguish legitimate users from suspicious activity and support product decisions.

Collaborating with product, data, and analytics teams, you’ll refine detection signals, evaluate verification methods across markets, and propose practical fraud controls to reduce risk while enabling growth.