Senior Software Engineer – Quantitative Trading

Westbury Partners; Sydney; On-site; AUD 170,000 - 210,000; Full time

Job summary

Westbury Partners in Sydney is seeking a Senior Software Engineer to build high-performance trading software and research infrastructure for quantitative trading.

You will design scalable platforms, work with researchers, and own critical production systems in Linux environments.

Join a high-caliber technology group that partners with quantitative researchers to scale data-driven innovation and deliver reliable technology across global markets.

Qualifications

• 5+ years of professional Python experience with large distributed systems.
• Strong Linux experience.
• Experience working with large datasets.

Responsibilities

• Designing, developing, and improving scalable software platforms for quantitative research and trading.
• Building research infrastructure that enables teams to analyse data and develop predictive models.
• Collaborating closely with quantitative researchers to translate complex requirements into robust technical solutions.
• Improving the scalability, reliability, and performance of large distributed production systems.
• Working with substantial datasets to develop efficient and dependable technology solutions.
• Operating and developing software within Linux-based environments.
• Taking ownership of projects while identifying opportunities for continuous improvement and innovation.
• Contributing to a collaborative culture where technology, research, and ideas combine to solve challenging problems.

Skills

Python

Distributed systems

Linux

Large datasets

Job description

Senior Software Engineer – Quantitative Trading

Westbury Partners – Sydney NSW

Full time

Build high-performance trading software and research infrastructure across distributed systems, partnering with quantitative researchers to scale data-driven innovation and deliver reliable technology for complex global financial markets at scale daily.

What You'll Do:

Join a high-performing technology team developing the platforms and infrastructure that power sophisticated quantitative trading and research. You’ll work closely with researchers and engineers to create innovative solutions, strengthen production systems, and enable the business to scale across markets.

Your responsibilities will include:

• Designing, developing, and improving scalable software platforms for quantitative research and trading.
• Building research infrastructure that enables teams to analyse data and develop predictive models.
• Collaborating closely with quantitative researchers to translate complex requirements into robust technical solutions.
• Improving the scalability, reliability, and performance of large distributed production systems.
• Working with substantial datasets to develop efficient and dependable technology solutions.
• Operating and developing software within Linux-based environments.
• Taking ownership of projects while identifying opportunities for continuous improvement and innovation.
• Contributing to a collaborative culture where technology, research, and ideas combine to solve challenging problems.

Why Join Us:

You’ll work at the intersection ofsoftware engineering, quantitative research, data, and global financial markets , solving technically demanding problems with a team of exceptional technologists and researchers.

The role offers significant ownership and the opportunity to build core systems whose impact extends across an entire organisation. Your work will help accelerate research, improve engineering productivity, and support the development of sophisticated technology used in fast-moving markets.

About You:

• You’re an experienced Python engineer who enjoys tackling complex problems and building reliable systems at scale. You have5+ years of professional experience with Python and large distributed systems , strong Linux experience, and a proven ability to work with large datasets.
• You bring strong analytical and problem-solving abilities, intellectual curiosity, and a self-directed approach to your work. You’re comfortable taking ownership, collaborating across technical disciplines, and consistently delivering dependable solutions.