Our Client is a market leading innovative technology house that has operations in all continents round the globe. They are a renowned global employer of choice that provides one of the greatest working environments available in technology combined with the financial advantages of working in and around trading. Engineer Python-based systems supporting trading strategies, research, and back-office automation across distributed, ML-enabled, and high-performance financial platforms.

What You’ll Do:
You’ll create and maintain Python systems that support research, trading, and mid-office automation, enabling quant teams to prototype, test, and deploy strategies efficiently.

Your responsibilities will include:

Developing Python frameworks and tools for trading signals and research

Automating back-office operations and reconciliation processes

Supporting distributed ML and quant research computations





Working closely with global engineering and trading teams

Ensuring robust, maintainable, and scalable code across platforms

Why Join Us:
This is a chance to work in a dynamic, fast-paced environment where engineers directly impact research and trading outcomes. Flat structures empower ownership and innovation.

About You:
You have 3–5+ years of Python engineering experience, strong analytical and problem-solving skills, and familiarity with distributed systems or ML tooling. Finance or fintech exposure is advantageous.

If you’re passionate about high-impact Python systems and enjoy working alongside traders, quants, and researchers in a collaborative environment, this is your next career move.

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📌 Quantitative Python Developer – Trading (New South Wales)
🏢 Westbury Partners
📍 New South Wales