Job Opportunities API

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