Quant Software Engineer

Quantitative Developer – Hedge Fund

London | Hybrid | Python | Quant Research | Systematic Trading

I'm working with an established London-based hedge fund that is building a next-generation,
AI-enabled quantitative equity investment platform
.

They're looking for a Quantitative Developer to join the founding team, sitting directly between quantitative research and software engineering
. You'll work closely with senior researchers and investment professionals, taking ideas from initial hypothesis through research, backtesting and ultimately into production trading systems.

• Researching and evaluating quantitative trading signals
• Building backtesting and simulation infrastructure
• Developing production-quality Python research and trading systems
• Building and maintaining large financial and alternative datasets
• Developing reusable research pipelines and analytical tooling
• Working on portfolio construction, position sizing and risk
• Monitoring live signals and investigating performance
• Using AI agents and LLMs within quantitative research and automation
• Working directly with Quant Researchers, Portfolio Managers and the wider investment team

• Strong Python development skills
• Experience with quantitative research and backtesting
• Strong understanding of statistics and working with large datasets
• Strong software engineering fundamentals
• Experience building reusable research/data pipelines
• Strong academic background in Computer Science, Mathematics, Statistics, Physics, Engineering or similar
• Genuine interest in financial markets and quantitative investing
• Ability to take ambiguous problems and independently determine how to solve them

Experience with in a hedge fund, asset manager, prop trading or systematic investment environment is advantageous, as is exposure to cloud, Kubernetes, workflow orchestration, SQL, distributed data processing and AI/LLM tooling.

£120,000+ base + bonus | London

If you're a strong Python/Quant Developer who wants significant ownership and the opportunity to help build a quantitative investment platform from an early stage.