Financial Fraud Detection Engine
Fraud Detection & AI/ML
International Bank
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Location Hong Kong
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Duration 11 months
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Team Size 9 developers
Project Overview
Real-time fraud detection system using machine learning to analyze transaction patterns and identify fraudulent activities. The platform processes millions of transactions daily with sub-second decision making.
Project Scope
- Real-time transaction scoring with ensemble ML models
- Graph analytics for detecting fraud rings and money laundering
- Integration with external data sources and blacklists
- Adaptive learning system that evolves with new fraud patterns
- Customer behavior profiling and risk assessment
Key Deliverables
- High-throughput fraud detection engine with real-time scoring
- Investigation workbench for fraud analysts
- Customer risk profiling and segmentation system
- Automated case management and workflow engine
- Regulatory compliance reporting for AML/KYC requirements