Staff Software Engineer - Fraud
Core
Build intelligent, automated systems and operational tools for fraud prevention and risk management, enabling real-time scoring and decisioning for business account onboarding.
Role type
Staff Software Engineer (Backend/Fraud Prevention)
Builds
Highly available, low-latency backend systems for fraud detection and due diligence
Domain
Fintech / Risk Management / Fraud Prevention
Deliverable
production ML models | product features
Required skills
Backend software development, System architecture, Real-time decisioning, ML pipeline integration, Technical leadership, Cross-functional collaboration
Preferred skills
Haskell, Fintech domain experience, Fraud systems experience
Technologies
Haskell, ML frameworks (implied via partnership with Data Science)
Responsibilities
Lead architecture and roadmap for core fraud prevention systems; Design and operate low-latency backend systems for real-time scoring; Partner with Data Science to productionize models and build ML pipelines; Mentor engineers and drive engineering best practices; Navigate and align multiple stakeholders on technical tradeoffs
Seniority
Staff, hands-on IC with strategic influence