Our client, a quant firm in Hong Kong is seeking a Research Engineering Developer to build and maintain a high-performance Python-based research platform, focusing on simulation engines, signal aggregation, and system optimization. The role requires advanced Python proficiency, experience with Docker/Kubernetes on AWS, and a background in quantitative finance for analyzing strategy performance.


Core Technical Skills (Must-Haves)

• Expert Python: Write clean, high-performance, production-ready code.
• DevOps Expertise: Deploy systems using Docker, Kubernetes (K8s), and AWS (EKS, S3, RDS).
• STEM Degree: Hold a Bachelor's degree in Computer Science, Engineering, or Math.

. Primary Job Tasks (Daily Focus)

• Platform Engineering: Build a central quantitative research platform and simulation engines.
• Library Development: Create high-performance Python tools and libraries for researchers.
• Infrastructure Management: Manage containerized environments for scalable model deployment. 

System Management & Optimization (Secondary Focus)

• System Optimization: Maximize computer speed, parallelization, and resource efficiency.
• Signal Integration: Build infrastructure to publish, group, and optimize trading signals.
• Operations & Support: Monitor daily production tasks and troubleshoot software issues.

Evaluation & Domain Knowledge (Supporting Skills)

• Analytics Frameworks: Develop tools to visualize backtest results and analyze risk metrics.
• Finance Knowledge: Understand asset classes like Equities, Derivatives, Fixed Income, and FX.
• Soft Skills: Stay self-motivated and collaborate effectively with research teams