Python Quantitative Developer (Research Engineering)
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.
(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
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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.
(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
#J-18808-Ljbffr
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