Focus on financial credit scenarios (personal consumer credit, corporate credit, supply chain finance). Design, develop, and iterate Java-based credit risk systems (full lifecycle: pre-loan → in-loan → post-loan). Mitigate credit/fraud/compliance risks, protect financial assets, and ensure compliance with CBIRC/PBOC regulations.
Key Responsibilities
Build Java-based credit risk systems (approval, anti-fraud, post-loan monitoring) to support credit applications, line reviews, and overdue collection.
Design high-availability APIs (pre-loan ≤300ms response, post-loan ≤500ms) for peak concurrency (thousands of requests/sec).
Use Java ecosystems (Spring Boot/Cloud Alibaba, Nacos, Apollo, Seata) to ensure microservice stability and data consistency (e.g., prevent duplicate loans).
Translate risk rules (CBIRC compliance, blacklists) and scoring models (A/B/C cards) into Java code.
Develop a dynamic rule platform (online editing, grayscale release) and optimize efficiency (Redis caching, async computing).Integrate ML models (TensorFlow/PyTorch) as RESTful APIs for real-time scoring.
Connect to financial data sources (central bank credit, third-party providers like BaiRong) via MyBatis/Spring Data JPA; build risk data marts.
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