Build fraud detection and risk decisioning ML models for Link digital wallet.
This role involves developing and deploying machine learning systems to detect fraud and abuse while maximizing legitimate payment authorization across Link's wallet product. You'll own the full ML lifecycle—from hypothesis formation and feature engineering to model deployment and production monitoring—and collaborate with engineering, product, and data science teams to shape payment experiences. The position requires deep expertise in production ML systems, large-scale data analysis, and real-time risk decisioning, with a strong preference for fintech or fraud-domain experience.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 22 September 2026 · InsideJobs links you to the original posting.