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Java Developer – Financial Credit Risk Control

Astra Tech · Abou Dabi

جديد
Mid 🇬🇧 English
Java JDK 11+ Spring Boot Nacos Apollo Seata MySQL Redis MyBatis Spring Data JPA Drools Easy Rules Flink Spark JVM tuning Concurrency ThreadPool Circuit breaking Distributed locks API signature SM4 SM2 RBAC Audit logs TensorFlow PyTorch

وصف الوظيفة

About the role

We are looking for a Java Developer to design, build and maintain credit risk systems that support the full loan lifecycle – from pre‑loan approval to post‑loan monitoring. The role focuses on financial credit scenarios, ensuring high‑availability services, regulatory compliance and integration of advanced analytics.

Key responsibilities

  • Develop Java‑based credit risk micro‑services (approval, anti‑fraud, post‑loan monitoring) using Spring Boot, Spring Cloud Alibaba and related technologies.
  • Design high‑availability APIs with sub‑300 ms response times for pre‑loan and sub‑500 ms for post‑loan processing, handling thousands of concurrent requests.
  • Translate regulatory rules (CBIRC, blacklists) and scoring models into executable Java code.
  • Build a dynamic rule platform with online editing, grayscale release and Redis caching.
  • Integrate machine‑learning models (TensorFlow, PyTorch) via RESTful APIs for real‑time scoring.
  • Connect to external financial data sources using MyBatis/Spring Data JPA and create risk data marts.
  • Implement real‑time dashboards and regulatory alerts, and process batch data with Flink or Spark.
  • Ensure data security, RBAC, audit logging and support AML and other regulatory audits.

Required profile

  • Bachelor’s degree in Computer Science, Software Engineering or FinTech.
  • Minimum 3 years of backend Java development experience.
  • At least 1.5 years of experience in financial credit risk systems (banking, consumer finance or fintech).

Required skills

  • Java (JDK 11+), JVM tuning, concurrency, ThreadPool.
  • Spring Boot, Spring Cloud Alibaba, Nacos, Apollo, Seata.
  • MySQL (sharding), Redis (cluster), MyBatis, Spring Data JPA.
  • Rule engines such as Drools or Easy Rules.
  • Flink or Spark for real‑time/batch processing.
  • Microservice patterns: circuit breaking, distributed locks.
  • API security (signature, SM4/SM2), RBAC, audit logs.
  • TensorFlow / PyTorch model integration via Java APIs.

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