Java Developer
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Key skills for this role
About the Role
Astra Tech seeks a Java Developer to build and maintain credit risk systems for financial credit scenarios in Abu Dhabi. The role involves designing high-availability APIs, developing rule engines, integrating ML models, and ensuring compliance with regulations.
Key Skills for This Role
Responsibilities
- Build Java based credit risk systems (approval, anti fraud, post loan monitoring)
- Design high availability APIs (pre loan ≤300ms response, post loan ≤500ms) for peak concurrency
- Use Java ecosystems (Spring Boot/Cloud Alibaba, Nacos, Apollo, Seata) to ensure microservice stability and data consistency
- Translate risk rules (CBIRC compliance, blacklists) and scoring models 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 via MyBatis/Spring Data JPA; build risk data marts
- Develop real time dashboards (track NPL, M1/M3, fraud rate) and regulatory alerts
- Process batch data with Flink/Spark (monthly credit sync, repayment calculations)
- Implement data security (desensitization, RBAC, audit logs) to meet Personal Information Protection Law
Requirements
- Bachelor’s in CS/Software/FinTech
- 3+ years backend development experience
- 1.5+ years in financial credit risk (banks/consumer finance/fintech)
- Proficiency in Java (JDK 11+): JVM tuning, concurrency (ThreadPool)
- Familiar with Spring Boot/Cloud, Seata, MySQL (sharding), Redis (cluster)
- Experience in Java credit risk systems (full lifecycle) and rule engines (Drools/Easy Rules) preferred
- Familiar with Flink/Spark for real time/batch data
- Knowledge of financial security (API signature, SM4/SM2) and regulatory requirements
Full Job Posting
About The Role
- 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.
- Develop real time dashboards (track NPL, M1/M3, fraud rate) and regulatory alerts (15 minute response).
- Process batch data with Flink/Spark (monthly credit sync, repayment calculations).
- Implement data security (desensitization, RBAC, audit logs) to meet Personal Information Protection Law.
- Support regulatory audits (AML, Internet Loan Measures) and fix system vulnerabilities (SQL injection, API bypass).
Requirements
- Bachelor’s in CS/Software/FinTech; 3+ years backend dev, 1.5+ years in financial credit risk (banks/consumer finance/fintech).
- Proficiency in Java (JDK 11+): JVM tuning, concurrency (ThreadPool); familiar with Spring Boot/Cloud, Seata, MySQL (sharding), Redis (cluster).
- Experience in Java credit risk systems (full lifecycle) and rule engines (Drools/Easy Rules) preferred.
- Familiar with Flink/Spark for real time/batch data; ability to design high availability microservices (circuit breaking, distributed locks).
- Knowledge of financial security (API signature, SM4/SM2) and regulatory requirements (Cybersecurity Law).
Preferred
- Experience in bank/fintech core credit systems
- ML model engineering (TensorFlow → Java APIs) or certifications (FRM, CISP, CFA).
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