Java Developer

Position: Java Developer Location: Hong Kong Contract: 12+ Months and Extendable Detailed JD (Roles and Responsibilities) Core Responsibilities

• Batch Pipeline Engineering: Support and implement robust distributed batch processing pipelines to compute PnL, Market Risk, Credit Risk and other market specific regulatory feeds.
• Performance Tuning: Optimize slow-running database queries, memory management, and compute grid utilization to shrink the overnight batch window.
• Resiliency & Automation: Automate batch failure recovery, monitoring alerts, and self healing mechanisms to minimize manual operational intervention.
• Stakeholder Collaboration: Partner closely with Quants, Risk Managers, Product Controllers and Production Support teams for support issues as well as onboard new Batch feeds as requested by the Business and Operation teams. Total Experience: 5 to 10 Yrs Relevant Experience: 5 to 10 Yrs Mandatory skills Technical Expertise
• Core Languages: Java, Perl and Python with an understanding of multi-threading, concurrency, and memory optimization. Strong proficiency in Unix commands is highly preferred.
• Big Data & Distributed Computing: Hands-on experience with technologies like Apache Spark.
• Orchestration & Workflow: Proficiency in enterprise scheduling tools such as, Autosys and Stonebranch.
• Database & Storage: Strong SQL/NoSQL capabilities, particularly with high throughput databases (e.g., Sybase, Oracle)
• CI/CD & Cloud: Solid experience with Git for deploying cloud-native data solutions on Azure Desired skills
• Strong analytical mindset with a passion for troubleshooting complex, distributed data issues under tight time constraints.
• Clear communication skills to bridge technical architectures with complex quantitative finance requirements. Domain (Industry)
• Proficiency in understanding of financial equity derivative products.
• Familiarity with core risk concepts: Value at Risk (VaR), Stress Testing, Greeks, and PnL Explained.
• Exposure to Basel regulatory frameworks (e.g., FRTB) is highly advantageous.