Quantitative Developer

This technology-driven hedge fund runs systematic and research-led strategies across global markets. They seek a Quantitative Developer to work directly alongside portfolio managers and researchers to build and support the systems that take trading strategies from research into live production. You'll own problems end-to-end: from a research idea, through building the production pipeline, to supporting it once it's live and trading real risk.

Responsibilities

• Design, build and maintain reliable trading systems and production pipelines, providing an efficient path from research to live trading.
• Maintain and improve the production and research codebase supporting one or more live trading strategies, including debugging, monitoring and resolving issues on live systems.
• Build tooling and dashboards that give clear visibility of live risk, positions, signals and system health.
• Partner directly with portfolio managers and researchers to translate research ideas into robust, production-quality code, and help develop frameworks for data validation and monitoring.
• Contribute to a shared technology platform - reusable libraries, services and engineering frameworks used across multiple strategies or asset classes.
• Improve engineering standards through better testing, documentation, code structure, monitoring and automation, including the use of modern AI-assisted or agentic development tools to improve productivity and code quality.
• Take genuine ownership of a technical or business domain, working directly with the stakeholders you support rather than through layers of process.

Requirements

Essential:

• Top class degree in Computer Science, Engineering, Mathematics, Physics, Statistics or other related STEM field.
• Strong Python development experience, including writing reliable, production-ready code.
• Experience building and deploying data pipelines, and familiarity with modern infrastructure (CI/CD, workflow orchestration, streaming or messaging technologies).
• A solid grasp of software engineering best practice - testing, version control, code review, modular design and monitoring.
• Comfort working on live, business-critical systems where reliability and correctness matter.
• Excellent communication skills and the ability to work closely with both technical and investment teams.

Beneficial:

• Experience developing trading systems, research platforms, signal pipelines or backtesting infrastructure at a systematic or quantitative fund.
• Exposure to options, commodities or equities markets and their associated trading workflows.
• Experience with distributed or parallel computing, containerisation and cloud infrastructure (e.g. Docker, Kubernetes, AWS/Azure).
• Interest in, or hands-on experience with, AI-assisted or agentic development workflows.
• A pragmatic mindset and able to balance engineering discipline with in a fast changing environment.

Why apply

• Genuine proximity to the investment process working directly with PMs and researchers
• Ownership of a domain from day one, at a fund that will stretch you technically faster than most tech firms.
• A flat, collaborative culture where good ideas move quickly from proposal to production.