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The Challenge
A digital bank serving 2M customers was losing €4M annually to card fraud. Existing rule-based systems had high false positive rates, causing legitimate transactions to be declined.
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The Solution
Designed and deployed a real-time ML fraud detection system processing 50K transactions/second with <50ms latency. Includes adversarial training to handle evolving fraud patterns and explainable decisions for regulatory compliance.
✅
The Results
- ✓Fraud losses reduced by 76% in first year
- ✓False positive rate decreased by 64%
- ✓Customer satisfaction increased 22 points
- ✓Full SR 11-7 model governance compliance
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Technology Stack
XGBoostKafkaRedisKubernetesSnowflake
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