Quant Developer - Python - Systematic Trading : £300k

Hunter Bond; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Hunter Bond is seeking a Strategy-focused Software Engineer to join a leading quantitative trading firm in London. You’ll sit at the intersection of software engineering, quantitative research and live trading, turning ideas into robust, production-ready systems.

You’ll collaborate with experienced quants and traders to develop signals, test them, and deploy across data, research and production environments, balancing speed, reliability and performance.

Qualifications

• Experience building, deploying and supporting production systems.
• Collaborates with trading, quantitative research or other technical teams.
• Strong problem-solving and pragmatic engineering decisions.
• Excellent communication in a fast-paced, collaborative environment.
• Exposure to multiple technologies; C++ experience is a plus.

Responsibilities

• Translate quantitative ideas into scalable, production-quality code.
• Design, build and maintain strategy components used across research and live trading.
• Develop backtesting, simulation and research infrastructure.
• Work across data, research and production environments to deploy strategies.
• Investigate and resolve cross-platform technical issues.
• Partner with quants and traders to balance robustness and speed.
• Scale research and trading tech across the firm.

Skills

Production systems

Team collaboration

Problem solving

Communication skills

C++

Education

BSc or MSc in Computer Science or similar

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.