Financial Services

Real-Time Fraud Detection for a Digital Bank

Built a real-time scoring engine that catches fraudulent transactions before they settle.

Client: Northbridge Digital Bank

-41%
Fraud losses
-27%
False positive rate
<80ms
Scoring latency

Northbridge was catching fraud after the fact, through overnight batch reports that arrived long after money had already moved. We built a real-time scoring pipeline that evaluates every transaction in milliseconds, using a model trained on their own transaction history.

The system now flags high-risk transactions for step-up authentication before they complete, instead of after the loss has already occurred.

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