Fraud Data Analyst — PuzzlePlay Segmentation & Risk

Greenhouse Software, Inc.; Georgia; On-site; USD 90,000 - 120,000; Full time

Job summary

Tripledot Studios is seeking a data analyst to own the fraud side of its user segmentation work for PuzzlePlay, a real‑money-like rewards platform integrated with our casual games. The role focuses on combining fraud and activity signals to guide revenue‑share decisions and to refine verification methods across markets.

You’ll collaborate with product and data teams to adapt signals as fraud tactics evolve and ensure the segmentation remains effective in identifying suspicious activity.

Qualifications

• Hands-on experience using data to investigate fraud and shape detection or prevention decisions.
• Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve.
• The ability to work with product and other teams to turn analysis into operational fraud controls.

Responsibilities

• Review fraud signals regularly, refining them to distinguish suspicious activity from legitimate users.
• Own the fraud-related segments of the user segmentation system, interpreting signals and monitoring category performance.
• Work with the product team on fraud verification tools for different markets (FaceTec currently used).
• Investigate users flagged for manual review, including Tremendous queue cases, and improve review processes.
• Identify gaps in available signals and recommend third-party tools for the product roadmap.

Skills

Fraud data analysis

Fraud signals design

User segmentation

Cross-team collaboration

Tools

FaceTec

ID verification

Job description

Tripledot Studios is seeking a data analyst to own the fraud side of its user segmentation work for PuzzlePlay, a real‑money-like rewards platform integrated with our casual games. The role focuses on combining fraud and activity signals to guide revenue‑share decisions and to refine verification methods across markets.

You’ll collaborate with product and data teams to adapt signals as fraud tactics evolve and ensure the segmentation remains effective in identifying suspicious activity.