Quantitative Software Engineer (Python)

Oxford Knight; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading algorithmic trading firm in London is seeking a Quantitative Software Engineer with Python skills. You'll join a collaborative team focused on developing trading strategies and building innovative tools. This position offers an exciting work culture, competitive salary, and the chance for significant impact in a leading company.

Benefits

Market-leading salary + bonuses

Generous benefits package

Flat management structure

Encouraging and friendly culture

Focus on coding and innovation

Qualifications

• 3+ years’ software engineering experience with Python.
• Strong experience with Python libraries like numpy, scipy, and pandas.
• Ability to build clean, reliable, and maintainable software.

Responsibilities

• Develop next-generation trading strategies with a trading team.
• Design infrastructure and build new tools for research and trading.
• Advocate for coding best practices within the trading environment.

Skills

Python

Quantitative Reasoning

Multitasking

Education

Bachelor’s degree in Computer Science

Tools

numpy

scipy

pandas

matplotlib

sklearn

Job description

Social network you want to login/join with:

Quantitative Software Engineer (Python), London

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Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

369cd412e743

Job Views:

28

Posted:

22.06.2025

Expiry Date:

06.08.2025

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Job Description:

Fantastic opportunity for talented developers at one of the world’s top algorithmic trading firms in their London office. This fully automated trading firm has a unique culture that is relaxed, yet exciting and technically stimulating, where you’ll be working with some of the smartest engineers in the industry.

They are seeking quantitative software engineers with Python expertise to help them develop the next generation of trading strategies.

To achieve this, you’ll join a trading team whose focus is building medium-frequency systematic trading capabilities. Working closely with engineering colleagues and quant researchers, you’ll be responsible for designing infrastructure and building new tools to power the research and trading environment, advocating for coding best practices within the trading team.

This role would suit someone who thrives when givenend-to-end ownership of exciting projects, enjoys building tools that empower researchers and is keen to share their knowledge on open-source tools and packages.

Requirements

• 3+ years’ software engineering experience, where Python is your main language
• Bachelor’s degree in Computer Science or Engineering (or related field)
• Substantial experience with Python libraries: numpy, scipy, pandas, matplotlib, sklearn, etc.
• Passion for building clean, reliable and maintainable software
• Strong quantitative reasoning skills
• Highly skilled at multitasking and time management in a fast-paced environment
• Market-leading salary + bonuses + generous benefits package
• Truly flat management structure, with no red tape
• Friendly culture where everyone’s ideas are encouraged and celebrated
• Feel valued and be rewarded for your hard work where coding is front and centre