Fraud Analyst

Jobgether SRL; Schweiz; Remote; CHF 90,000 - 120,000; Full time

Benefits offered by this job

Remote-friendly Europe

Job summary

Jobgether SRL, listed on behalf of a partner in Switzerland, is seeking a Fraud Analyst for a rapidly growing digital rewards platform. You will investigate fraud patterns, segment users, and help shape the signals and controls used to identify suspicious activity.

Collaborate with product, data, and analytics teams to adapt verification approaches across markets and contribute to efficient manual reviews, third-party tools, and ongoing fraud detection improvements.

Qualifications

• Hands-on experience using data to investigate fraud and influence detection decisions.
• Experience designing or improving fraud signals, user segmentation models, detection rules, or manual review processes.
• Strong analytical mindset with ability to identify patterns, anomalies, and data gaps.
• Proficient in English for meetings, documentation, and written communication.

Responsibilities

• Review, evaluate, and refine fraud signals to distinguish suspicious activity from legitimate users.
• Own the fraud-related segments within the user segmentation system and monitor how signals are interpreted.
• Analyze emerging fraud patterns and update detection rules and verification processes.
• Partner with product teams to improve verification approaches across markets (face verification, ID scanning, phone verification).
• Investigate cases flagged for manual review and streamline the process for efficiency and consistency.
• Identify gaps in signals and data sources and recommend relevant third-party tools or solutions.
• Translate analytical findings into practical fraud controls with cross-functional collaboration.

Skills

Fraud investigation

Data analysis

Detection rules

Collaboration

Communication

English proficiency

Tools

Fraud detection tools

Identity verification solutions

Third party data providers

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Fraud Analyst based in Switzerland.

As a Fraud Analyst, you will play a key role in protecting a rapidly growing digital rewards platform and ensuring users are accurately segmented based on legitimate activity and potential fraud. You’ll investigate evolving fraud patterns and turn data into practical detection and prevention strategies. Working closely with product, data, and analytics colleagues, you’ll help shape the signals and controls used to identify suspicious behavior. You’ll also contribute to verification strategies across different markets, adapting approaches to local requirements and fraud trends. The role combines hands on investigation, analytical problem solving, and operational decision making. You’ll have the opportunity to influence product priorities while helping build a fraud detection system that evolves as user behavior changes.

• 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.