Project Background
The client is a major domestic commercial bank. With the rapid growth of internet finance, traditional rule-based risk control can no longer cope with complex underground attacks and fraud. The key pain points include high rule maintenance costs, persistently high false-positive rates, heavy manual review workload, and an inability to block transaction risks in real time.
Solutions
Luxijie Tech tailored a full-link intelligent risk-control system for the client. The core architecture includes:
- AI Model Engine: Combined machine-learning algorithms such as XGBoost and LSTM to build models for anti-fraud, credit scoring, and post-loan alerts.
- Real-time Computing Platform: Built a Flink-based real-time engine supporting tens of thousands TPS to make real-time risk decisions for concurrent transactions.
- Knowledge Graph: Constructed an association network with hundreds of millions of nodes to effectively identify ring fraud and abnormal relationships.
- Device Fingerprinting & Biometrics: Collected device features and user behavior trails to accurately detect emulators and scripted attacks.
System Architecture Diagram
Implementation Process
The project progressed steadily in three phases:
- Phase 1 (Data Governance & Infrastructure): Integrated core in-bank systems, credit systems, and third-party credit data to build a risk-control data middle platform.
- Phase 2 (Model Training & Strategy Deployment): Trained and tuned models using historical data, deployed champion–challenger strategies, and performed canary validation.
- Phase 3 (Full Launch & Continuous Operations): Took over online business at scale and established model monitoring and automatic iteration mechanisms.
Key Outcomes
One year after go-live, the system achieved notable outcomes:
- Intercepted over 500,000 fraudulent transactions, averting potential losses exceeding 500 million RMB.
- Shortened credit approval from days to seconds, greatly improving user experience.
- Raised automated approval rates to 85%, freeing significant manual review capacity.
Value Proposition
The project built an industry-leading intelligent risk-control defense that meets regulatory compliance, laid a solid foundation for the client’s digital transformation, and significantly enhanced market competitiveness.