FinTech · Vantage Financial Group
Cutting fraud losses 47% with real-time AI risk scoring
An ML-powered fraud detection engine that scores transactions in under 80 milliseconds.
47%
reduction in fraud losses
68%
fewer false positives
<80ms
average scoring latency
The Problem
Vantage relied on static, rule-based fraud checks that missed emerging fraud patterns and generated high false-positive rates, frustrating legitimate customers and costing the compliance team hundreds of hours in manual review each month.
The Solution
Zarenor built a real-time risk-scoring engine combining gradient-boosted models with a graph-based anomaly detector, deployed on a low-latency inference pipeline. A feedback loop from analyst decisions continuously retrains the model in production.
Technology Used
PythonTensorFlowKafkaGoogle CloudGraphQL
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