Senior Python Engineer - Westbury Partners

Westbury Partners; Hong Kong; On-site; HKD 600,000 - 1,200,000; Full time

Job summary

Westbury Partners seeks a Senior Python 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 in a sophisticated tech environment, owning projects through the full software lifecycle.

You will develop scalable tools, enable large-scale computations, and optimize latency, throughput, and maintainability, while applying modern testing, CI/CD, and

Qualifications

• 5+ years of professional software engineering experience with Python.
• Strong knowledge of numerical computing and data-processing technologies.
• Experience with automated testing and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and Linux.

Responsibilities

• Engineering Python-based platforms that take research and trading ideas from prototype to production.
• Create business-critical applications for risk management and operational workflows.
• Develop research tooling for distributed computing and large-scale quantitative analysis.
• Implement reliable automation solutions that improve productivity and efficiency.
• Gather requirements and translate complex stakeholder needs into practical software.
• Maintain robust, scalable systems across Linux, Docker, and Kubernetes environments.
• Work with Pandas, NumPy, SciPy, Celery, Dask, and Spark to advance analytics.
• Continuously improve software performance, reliability, testing, and deployments.

Skills

Python

CI/CD

Distributed systems

Performance optimization

Stakeholder requirements

Tools

Docker

Kubernetes

Linux

Pandas

NumPy

SciPy

Celery

Dask

Spark

Job description

Senior Python Engineer - Westbury Partners

Build high-performance Python systems powering quantitative research, systematic trading, automation, analytics, and risk workflows, collaborating with traders, researchers, and engineers across a sophisticated technology environment.

What You'll Do:

• Develop, test, deploy, and maintain high-performance Python applications.
• Build scalable tools supporting systematic trading and quantitative research.
• Develop automation, analytics, visualization, and workflow optimization solutions.
• Enable researchers to run large-scale computations and backtesting.
• Work closely with traders, quants, researchers, and engineering teams.
• Own projects throughout the full software development lifecycle.
• Optimize systems while balancing latency, throughput, scalability, and maintainability.
• Apply modern automated testing, CI/CD, and daily deployment practices.'

Your Responsibilities Will Include:

• 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 asPandas, NumPy, SciPy, Celery, Dask, and Spark .
• Continuously improving software performance, reliability, testing, and deployment processes.

Why Join Us:

• Work at the intersection ofsoftware engineering, quantitative research, and systematic trading .
• Solve technically challenging problems involving high-performance and distributed systems.
• Collaborate directly with experienced traders, quants, researchers, and engineers.
• Build technology that directly influences sophisticated trading and research workflows.
• Gain exposure to modern cloud, containerization, automation, and data-processing technologies.
• Enjoy an environment where engineers have genuine ownership from concept through production.

About You:

• 5+ years of professional software engineering experience with strong Python expertise.
• Strong knowledge of numerical computing and data-processing technologies.
• Experience with automated testing and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and Linux.