Quant Developer | Hedge Fund | London

Orbis Group; England; On-site; GBP 162,000 - 198,000; Full time

Job summary

A leading hedge fund in London is seeking a Quantitative Developer to enhance trading and investment models. This role involves software development in Python, collaborating with quantitative researchers, and improving execution workflows. Ideal candidates have a strong programming background, experience in a financial setting, and a relevant degree. Competitive salary of £180k plus bonus.

Qualifications

• Strong programming background, primarily in Python (NumPy, Pandas, SciPy, etc.).
• Solid understanding of computer science fundamentals.
• Experience within a quant, trading, or financial markets environment.

Responsibilities

• Design, build, and optimise trading models and analytical systems.
• Develop robust, scalable software in Python.
• Work across the full lifecycle from idea generation to performance tuning.

Skills

Strong programming background in Python

Understanding of computer science fundamentals

Experience in a quant or trading environment

Education

Degree in Computer Science or related field

Job description

This range is provided by Orbis Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Orbis Group

Quant Developer | Multi-Asset Hedge Fund | London | £180k + bonus

A leading hedge fund in London is looking for a Quantitative Developer to join a high-performing front-office technology and research team. This role sits between the software engineering and quant research teams, building the tools, models and infrastructure that drive trading and investment decisions across multiple asset classes.

What you’ll be doing

• Partnering directly with quantitative researchers and traders to design, build, and optimise trading models and analytical systems.
• Developing robust, scalable software in Python, with opportunities to contribute to components in C++ or Rust.
• Working across the full lifecycle – from idea generation and prototyping to production deployment and performance tuning.
• Leveraging statistical methods, data analysis, and modern compute infrastructure to improve research and execution workflows.

What you need

• Strong programming background, primarily in Python (NumPy, Pandas, SciPy, etc.).
• Solid understanding of computer science fundamentals – algorithms, data structures, and software design.
• Experience within a quant, trading, or financial markets environment (hedge fund, prop desk, or similar) is ideal.
• Degree in Computer Science, Mathematics, Physics, or a related field from a top-tier university.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Finance

Industries

IT Services and IT Consulting and Financial Services

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