Python Software Engineer

Direct message the job poster from Durlston Partners

Hedge Fund, Trading & Tech Headhunter at Durlston Partners

Python Software Engineer – High-Frequency Trading

We're working with a high‑frequency trading (HFT) firm that is looking to expand its technology team with a Python Software Engineer. This is an opportunity to join a trading firm operating at the cutting edge of global markets, where technology and speed are paramount.

They build and run highly scalable, ultra‑low latency trading systems that compete across major global exchanges. You’ll work on some of the most complex and rewarding engineering challenges in the financial technology space.

The Role

As a Python Software Engineer, you’ll collaborate with traders, quantitative researchers, and other developers to design, develop, and optimise trading infrastructure. You’ll be directly contributing to systems that operate at nanosecond‑level latency and handle massive volumes of real‑time data.

Key Responsibilities

• Develop and maintain systems for real‑time market data, trade execution, and reconciliation.

• Optimise performance and scalability across key trading infrastructure components.

• Partner with cross‑functional teams to improve tooling, observability, and automation.

• Deliver robust, production‑ready solutions in a fast‑paced environment.

Requirements

• Min 2+ years of Python experience in a professional setting (HFT, trading, fintech, or other high‑performance domains).

• Exposure to C++ or willingness to work in multi‑language environments is a plus.

• Familiarity with SQL databases and Linux‑based systems.

• Interest in financial markets, real‑time systems, or algorithmic trading.

Why Apply?

• Opportunity to work on high‑impact systems used in live trading.

• Collaborate with some of the brightest minds in quantitative finance and software engineering.

• Competitive compensation package with a base salary, plus bonus.

We are reviewing applications on a rolling basis. If this role sounds like a fit, apply now to learn more.

Please note: Due to high application volume, we’re only able to respond to candidates who are shortlisted within 3 working days.