Python Engineer

Role overview

A leading global hedge fund is hiring a Python Engineer to join its front-office technology group in London. This position works closely with Portfolio Managers, Quantitative Researchers, and Analysts to create tools and platforms that support investment decision-making and performance.

The role is highly visible and business-facing, with responsibilities spanning research, trading, and portfolio management systems. The technology you build will have a direct effect on investment outcomes, workflow efficiency, and trading execution.

Key responsibilities

• Create, enhance, and support Python applications used across trading, research, and portfolio management functions.
• Develop custom analytics, reporting, and visualisation solutions in partnership with investment teams.
• Design and improve data pipelines for very large financial datasets.
• Automate complex processes to streamline research and trading operations.
• Work day to day with Portfolio Managers, Quants, and Analysts to deliver practical, high-value technical solutions.

Why this role stands out

This is a front-office role that provides direct exposure to live investment activity and decision-making. You will contribute to technology that has a measurable impact on research quality, portfolio construction, and trading performance.

You will join a collaborative, low-ego team of skilled engineers, quants, and investment professionals, and have real ownership over important projects using modern technology and large-scale data.

The position offers a highly competitive compensation package with performance-related bonuses and strong long-term growth potential.

Requirements

• A degree in Computer Science, Engineering, Mathematics, Physics, or another quantitative subject.
• Proven Python engineering experience in high-performance, data-heavy, or distributed environments.
• Solid software engineering foundations, including system design and writing maintainable code.
• Strong analytical thinking and structured problem-solving ability.
• Confidence communicating with both technical and non-technical colleagues.

Preferred background

• Exposure to financial markets, trading platforms, or quantitative research settings.
• Experience with large-scale data engineering and cloud technologies.
• Familiarity with equities, fixed income, derivatives, or other alternative asset classes.

Additional information

Location: London, United Kingdom.

Work style: Hybrid.

Compensation: Up to £180,000 plus bonus and comprehensive benefits.

If you are a Python Engineer interested in a front-office environment where technology directly influences investment performance, this role is designed for you.