Staff+ Software Engineer, Financial Fraud
Core
Build real-time risk decisioning systems and fraud detection tooling to protect payment and monetization surfaces from financial abuse.
Role type
Staff+ Software Engineer (Financial Fraud)
Builds
Real-time risk scoring systems, dispute/chargeback lifecycle automation, and fraud signal detection engines.
Domain
Fintech / Payments Fraud
Deliverable
production ML models | product features
Required skills
Python, SQL, data analysis, building/operating fraud detection systems in production, cross-functional collaboration
Preferred skills
Payments rails expertise (card networks, PSPs, in-app purchases), combating specific fraud typologies (card testing, stolen-card monetization, subscription abuse), hybrid rules-and-ML risk systems, marketplace/subscription business experience
Technologies
Python, SQL, Stripe, Adyen, Apple, Google
Responsibilities
Design and build real-time risk decisioning that scores transactions at authorization time; Build tooling and automation for the dispute and chargeback lifecycle; Engineer fraud signals at scale including device fingerprinting and cross-account linkage; Own a portfolio of metrics including loss rate and false-positive rate; Lead investigations into emerging fraud patterns; Work cross-functionally with finance, support, legal, and external payment processors
Seniority
Staff+, hands-on IC with strategic impact
