As a Java Developer focusing on financial credit scenarios (personal consumer credit, corporate credit, supply chain finance), you will design, develop, and iterate on Java-based credit risk systems throughout their full lifecycle—from pre-loan to in-loan and post-loan. Your role will involve mitigating credit, fraud, and compliance risks, protecting financial assets, and ensuring adherence to CBIRC/PBOC regulations.
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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 for peak concurrency, ensuring low response times.
- Utilize Java ecosystems (Spring Boot/Cloud Alibaba, Nacos, Apollo, Seata) to maintain microservice stability and data consistency.
- Translate risk rules and scoring models into Java code.
- Develop a dynamic rule platform and optimize efficiency through caching and asynchronous computing.
- Integrate machine learning models as RESTful APIs for real-time scoring.
- Connect to financial data sources and build risk data marts.
- Develop real-time dashboards and regulatory alerts.
- Process batch data with Flink/Spark.
- Implement data security measures to comply with the Personal Information Protection Law and support regulatory audits.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or FinTech.
- Minimum 3 years of backend development experience with at least 1.5 years in financial credit risk in banks, consumer finance, or fintech.
- Proficiency in Java (JDK 11+), including JVM tuning and concurrency, and familiarity with Spring Boot/Cloud, Seata, MySQL, and Redis.
Core Skills:
- Experience with Java credit risk systems and rule engines is preferred.
- Familiarity with Flink/Spark for real-time and batch data processing.
- Ability to design high-availability microservices and knowledge of financial security and regulatory requirements.
Preferred Qualifications:
- Experience in bank or fintech core credit systems.
- Machine Learning model engineering experience or relevant certifications (FRM, CISP, CFA).
Location:
Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions:
On-site, Full-time
