What You'll Do:
Develop and maintain high-performance Python applications for trading, research, and risk management.
Collaborate with traders, researchers, and quants to design scalable and efficient software solutions.
Build automation tools that enhance trading workflows and optimize research capabilities.
Deploy, test, and iterate rapidly to drive continuous improvements.
Balance trade-offs between latency, throughput, scalability, and maintainability.
Your Responsibilities Will Include:
Writing clean, efficient, and scalable Python code.
Enhancing quantitative research infrastructure, including back-testing frameworks and distributed computing tools.
Building tools for trade analysis, visualization, and automation.
Implementing CI/CD pipelines, automated testing, and cloud-based data processing solutions.
Working with numerical computing frameworks like Pandas, NumPy, and Dask.
Managing containerized environments using Docker and Kubernetes.
Collaborating closely with cross-functional teams, ensuring smooth communication between engineers and traders.
About You:




5+ years of professional experience in Python software development.
Robust background in numerical computing and data processing.
Experience with cloud-based infrastructure, Kubernetes, and containerized environments.
Familiarity with distributed computing frameworks such as Dask or Spark.
Passion for problem-solving and technical innovation.
Strong communication skills and ability to work in a cooperative workplace.
Financial industry experience is not required, but curiosity and a drive to learn are essential.
Innovate. Optimize. Lead.
If you're passionate about Python development and want to work in a high-impact, fast-paced workplace, join us to shape the future of trading and research technology!
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📌 Senior Python Engineer Trading & Research Systems Sydney
🏢 Westbury Partners
📍 Sydney