Python Quant Developer - Systematic Equities & Credit - McGregor Boyall

eFinancialCareers; Greater London; Presencial; GBP 90.000 - 150.000; Jornada completa

Descripción de la vacante

A leading global investment manager in London is looking for a Python Quant Developer to support its systematic equities and credit strategies.

You will join a small front-office-aligned engineering team, building well-engineered Python applications and data infrastructure used by researchers and traders. You’ll own production software, improve existing systems and contribute to robust development practices.

Formación

• Strong Python development experience in financial markets.
• Experience building production-quality software, with testing and maintainable code.
• Familiarity with Python libraries NumPy, Pandas and SciPy.
• Understanding of equities markets; credit experience is advantageous but not essential.

Responsabilidades

• Develop and maintain production Python applications, research tooling and data pipelines.
• Collaborate with quantitative researchers and traders to translate requirements into software.
• Take ownership of applications throughout their lifecycle, from development to deployment and improvements.
• Address performance, data quality and reliability challenges while promoting good practices.
• Contribute to scalable engineering standards and development processes.

Conocimientos

Python development

NumPy

Pandas

SciPy

Software engineering principles

Testing

Maintainable code

Equities markets understanding

Descripción del empleo

Python Quant Developer - Systematic Equities & Credit

I'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 Role

You'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 For

Strong 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 Considering

What'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.