Data Analyst

Description

The company is one of the largest independent mobile games companies in the world, with more than 2,500 people across 12 studios.

Its games reach top chart positions worldwide and have over 25 million daily active users.

The team is building a new player rewards platform where players earn points, complete challenges and win real prizes for playing casual, free-to-play mobile games.

The platform is central to the company's growth and pairs engagement mechanics with strong game content.

You would work with the analyst who handles gameplay signals, plus product and data colleagues, to keep the user segmentation system useful as fraud changes.

Responsibilities

• Revisit fraud signals regularly, adding, dropping and tuning them so suspicious activity can be told apart from genuine users.
• Assess signals such as IP spoofing, VPN use and unusual play patterns.
• Own the fraud segments in the user segmentation system, from deciding how signals are read to tracking how well each category performs over time.
• Help product choose verification methods for each market. FaceTec handles facial verification today, but other countries may need ID scanning or phone verification.
• Investigate users flagged for manual review, including unclear cases in the Tremendous queue, and find ways to improve the review process.
• Find gaps in the available signals and recommend third-party tools for the product roadmap where they would add value.

Requirements

• Hands-on experience using data to investigate fraud and inform detection or prevention decisions, not only working alongside a fraud team.
• Experience designing or improving fraud signals, user segments or review processes, with an interest in how these decisions shift as tactics change.
• Ability to work with product and other teams to turn analysis into day-to-day fraud controls.

Conditions

Open to candidates based in Europe, with Warsaw preferred, where several colleagues are based.