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 benefits 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 workplace, this is your next career move.