Design and build fraud detection and remediation systems balancing loss, cost, and UX
Collaborate with finance, security, product, research, and safety teams to combat fraud
Stay ahead of evolving fraud techniques and tools
Leverage GPT-5 and future models to improve defenses

🎯 Requirements

5+ years of software engineering in backend and data systems
2+ years fraud or abuse analysis, investigation, and/or operations
Ability to dive into codebase and propose improvements
Eager to learn and clearly share knowledge with others
Comfortable with ambiguity and rapid change
ML techniques a plus; stack: Terraform, Kubernetes, Azure, Python, PostgreSQL, Kafka

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