Senior Python Engineer - Quantitative Trading & Research

Westbury Partners; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Westbury Partners is seeking a Senior Python Software Engineer to build high-performance Python systems powering quantitative research, systematic trading, automation, analytics, and risk workflows. You will collaborate with traders, researchers, and engineers across a sophisticated technology environment.

You will own projects through the full software lifecycle, optimize latency and scalability, and apply modern automated testing, CI/CD, and daily deployment practices in a

Qualifications

• 5+ years of professional software engineering experience with strong Python expertise.
• Experience with automated testing and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and Linux.
• Exposure to distributed computing and cloud-based data processing.

Responsibilities

• Engineering Python-based platforms that take trading strategies from prototype to production.
• Creating business-critical applications for risk management and operational workflows.
• Developing research tooling for distributed computing and large-scale quantitative analysis.
• Implementing reliable automation solutions that improve productivity and efficiency.
• Gathering requirements and translating complex stakeholder needs into practical software.
• Maintaining robust, scalable systems across Linux, Docker, and Kubernetes environments.
• Working with technologies such as Pandas, NumPy, SciPy, Celery, Dask, and Spark.
• Continuously improving software performance, reliability, testing, and deployment processes.

Skills

Python programming

Numerical computing

Distributed computing

Tools

Docker

Kubernetes

Linux

Pandas

NumPy

SciPy

Celery

Dask

Spark

Job description

Westbury Partners is seeking a Senior Python Software Engineer to build high-performance Python systems powering quantitative research, systematic trading, automation, analytics, and risk workflows. You will collaborate with traders, researchers, and engineers across a sophisticated technology environment.

You will own projects through the full software lifecycle, optimize latency and scalability, and apply modern automated testing, CI/CD, and daily deployment practices in a