Financial Services
Real-Time Fraud Detection for a Leading Fintech
Built a real-time fraud detection system that reduced false positives by 60% whilst catching 95% of fraudulent transactions.
Results
Key Outcomes
60%False Positive Reduction
95%Fraud Detection Rate
<200msProcessing Latency
3xReview Team Efficiency
The Challenge
The client's legacy rule-based fraud system generated excessive false positives, frustrating legitimate customers and overwhelming the review team. Processing delays meant fraudulent transactions were only caught hours after completion.
Our Solution
We designed and deployed a machine learning pipeline combining anomaly detection with behavioural analysis. The system processes transactions in under 200ms, using ensemble models trained on historical patterns to distinguish genuine activity from fraud.
Predictive IntelligenceFinancial ServicesReal-Time ML
