Python Quantitative Developer (Research Engineering)

Gravitas Recruitment Group (Hong Kong) Limited; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Gravitas Recruitment Group (Hong Kong) Limited seeks a Python Quantitative Developer (Research Engineering) to build a high-performance Python-based research platform with simulation engines and signal aggregation. The role focuses on platform engineering and library development for researchers in a fast-paced environment.

Applicants should have advanced Python skills, hands-on Docker/Kubernetes on AWS, and a background in quantitative finance to analyze strategy performance.

Qualifications

• Advanced Python proficiency required.
• Experience deploying systems with Docker and Kubernetes on AWS (EKS, S3, RDS).
• Bachelor's degree in Computer Science, Engineering, or Math.

Responsibilities

• Platform Engineering: Build a central quantitative research platform and simulation engines.
• Library Development: Create high-performance Python tools and libraries for researchers.
• Economy-wide validation and performance tracking of strategies.

Skills

Python programming

Quantitative finance

Education

Bachelor's degree in Computer Science, Engineering, or Math

Tools

Docker

Kubernetes

AWS

EKS

S3

RDS

Job description

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