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
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more