Quant Software Developer - Python - Systematic Trading : £300k

Hunter Bond; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Hunter Bond is seeking a Strategy-focused Software Engineer to join an established intraday trading team in London. You will operate at the intersection of software engineering, quantitative research and live trading to turn ideas from research into production-grade systems.

You’ll work with quants and traders to build, test and deploy new signals, while improving the technology that supports the strategy lifecycle and trading infrastructure.

Qualifications

• Experience building production systems.
• Experience working with trading or quantitative research teams.
• Strong problem-solving skills and the ability to make pragmatic engineering decisions.
• Excellent communication skills in a fast-paced, collaborative environment.

Responsibilities

• Translate quantitative ideas and trading signals into scalable, production-quality code
• Design, build and maintain strategy components used across research and live trading
• Develop and enhance backtesting, simulation and research infrastructure
• Work across data, research and production environments to get strategies from concept to deployment
• Investigate and resolve technical issues across multiple platforms and technology stacks
• Partner directly with quants and traders, balancing robustness, performance and speed of delivery
• Help scale successful research and trading technology across the wider firm

Skills

Production systems

Trading systems

CI/CD

Multiple tech stacks

C++ experience

Education

BSc or MSc in Computer Science or similar

Tools

Git

Linux

CI/CD pipelines

Job description

We’re working with a leading quantitative trading firm that is looking to add a Strategy-focused Software Engineer to one of its established intraday trading teams.

This is a role for someone who enjoys sitting at the intersection of software engineering, quantitative research and live trading — taking ideas from research through to robust, production-ready systems.

You’ll work closely with experienced quants and traders to develop, test and deploy new trading signals, while continuously improving the technology that supports the strategy lifecycle.

What you’ll be doing

• Translate quantitative ideas and trading signals into scalable, production-quality code
• Design, build and maintain strategy components used across research and live trading
• Develop and enhance backtesting, simulation and research infrastructure
• Work across data, research and production environments to get strategies from concept to deployment
• Investigate and resolve technical issues across multiple platforms and technology stacks
• Partner directly with quants and traders, balancing robustness, performance and speed of delivery
• Help scale successful research and trading technology across the wider firm

What we’re looking for

• Experience building, deploying and supporting production systems
• Comfortable working closely with trading, quantitative research or other highly technical teams
• Strong problem-solving skills and the ability to make pragmatic engineering decisions
• Excellent communication skills and the confidence to operate in a fast-paced, collaborative environment
• Exposure to multiple technologies or programming languages is highly desirable; C++ experience would be a plus
• BSc or MSc in Computer Science or similar

You’ll stand out if you have

• Experience working within systematic, quantitative or intraday trading
• An understanding of statistical concepts and quantitative research methodologies
• Experience with CI/CD and modern software engineering practices
• Familiarity with AI-assisted development and coding tools
• Experience building research platforms, backtesting frameworks or trading infrastructure

Why this role?

You’ll be joining a highly successful trading environment where technology is central to the research and execution process. The team has established strategies and a strong track record, but is equally focused on discovering the next opportunity.

If you’re a software engineer who wants to move beyond traditional application development and have a direct impact on trading strategies, research and P&L, this could be a particularly interesting opportunity.