Design and build real-time risk scoring at authorization.
Build tooling for dispute and chargeback lifecycle.
Engineer fraud signals at scale and detect monetization abuse.
Own metrics: loss rate, dispute rate, false positives.
Lead investigations into emerging fraud patterns and defenses.
Collaborate cross-functionally with finance, support, legal, data science, and processors.

🎯 Requirements

Proficiency in Python, SQL, and data analysis tools.
Experience building or operating fraud, risk, or abuse detection systems in production.
Strong communication to explain complex tradeoffs to non-technical stakeholders.

🎁 Benefits

Competitive compensation and benefits.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours.
Lovely office space.

🛃 Visa sponsorship

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