Finance · 2023
Real-time fraud detection at 40M-user scale
A real-time fraud platform that cut losses 34% while keeping false declines low and latency under 60ms.
A high-growth payments fintech — Fintech · 40M users
Client
A high-growth payments fintechFintech · 40M users
Technology stack
ROI
195% over 18 months, payback in 8 months.
Client overview
A payments fintech faced rising fraud losses and false-decline pressure as volume scaled. Its batch scoring could not keep pace with real-time attack patterns.
Business challenge
Build real-time, explainable fraud detection at scale, without inflating false declines or adding latency users would notice.
Approach
We designed a streaming fraud platform with feature stores, online and offline model training, and human-in-the-review loops. Explainability was built in so analysts and regulators could understand every block.
Business impact
Fraud losses fell while authorization rates rose. The platform's explainability became a trust asset in relationships with partners and regulators.