70000.00 - 150000.00 per annumLondon EC3V, UKPermanentPython Quant Developer – Systematic Equities & CreditI'm working with a leading global investment manager in London looking to hire a Python Quant Developer to support its systematic equities and credit strategies.
The position sits within a front-office-aligned engineering function, working closely with quantitative researchers and traders to develop the software and data infrastructure used throughout the research and trading process.
The focus is on building well-engineered Python applications, improving existing systems and taking responsibility for production technology.
The RoleYou'll be joining a small, cross-functional engineering team responsible for developing and maintaining the technology supporting systematic trading strategies across equities and credit.
Develop and maintain production Python applications, research tooling and financial data pipelines used by quantitative researchers and traders.
Work closely with investment teams to translate research requirements into reliable, scalable software.
Take ownership of applications throughout their lifecycle, including development, testing, deployment and ongoing improvements.
Address engineering challenges around system performance, data quality and reliability, while contributing to good development practices.
What They're Looking ForStrong Python development experience, ideally within an investment bank, hedge fund, asset manager or similar financial markets environment. Experience building production-quality software, with a good understanding of software engineering principles, testing and maintainable code.
Familiarity with Python's scientific computing libraries, particularly NumPy, Pandas and SciPy.
An understanding of equities markets, financial instruments and associated data. Credit experience would be advantageous but isn't essential.
Why It's Worth ConsideringWhat's particularly interesting about this position is the proximity to systematic trading and the breadth of engineering work involved.
There is also scope to gain exposure to other strategies and areas of quantitative development over time.
This could be particularly interesting for a Python Developer or Quant Developer working within equities technology, pricing, research infrastructure or front-office systems who wants to move closer to systematic trading.
If this sounds relevant to your background, feel free to apply or get in touch for a confidential discussion.
Python Quant Developer - Systematic Equities & Credit in London employer: McGregor Boyall
Join a leading global Investment Management firm in London, where you will thrive in a dynamic hybrid work environment that fosters collaboration and innovation. With a strong focus on employee growth, the company offers competitive salaries, generous bonuses, and comprehensive benefits, alongside opportunities to take ownership of impactful regulatory initiatives. Experience a supportive work culture that values strong stakeholder relationships and encourages professional development, making it an ideal place for those seeking meaningful and rewarding employment.
