Data Analyst, Antifraud

Highlights

• Hunt fraud rings draining GPU compute via hundreds of linked accounts.
• Own the monthly abuse loss number and explain compute cost spikes same-day.
• Run ring investigations end-to-end from anomaly to provable enforcement action.

What they offer

• Competitive salary in USD
• Equity: participation in stock option program
• Relocation support (flight + temporary housing)
• Flat structure, high autonomy, fast career growth

Ideal candidate

Investigative fraud or trust & safety analyst who follows messy threads to provable conclusions and can separate real abuse from unprofitable-but-legitimate use. Comfortable with ambiguity, evidentiary rigor, and decisions that restrict real accounts.

Requirements

• SQL on raw payment, usage and identity data in BigQuery
• Python at working level for analysis with pandas, notebooks and graph work
• Experience joining payments to usage to identity across messy keys
• Investigative instinct to follow threads and distinguish coincidence from pattern
• Evidentiary discipline to write checkable findings
• Unit-economics literacy including gross margin per account and compute costs
• Judgment to escalate rather than act when evidence is thin
• Clear written and spoken English, B2+