At a Glance
- Tasks: Design and maintain trading systems, turning research ideas into live production.
- Company: Dynamic hedge fund focused on innovative, systematic trading strategies.
- Benefits: Competitive salary, collaborative culture, and rapid technical growth opportunities.
- Other info: Fast-paced environment with ownership from day one and excellent career progression.
- Why this job: Work closely with portfolio managers and researchers to make a real impact.
- Qualifications: Top-class STEM degree and strong Python development skills required.
The predicted salary is between 60000 - 80000 £ per year.
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 within 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.
Quantitative Developer in London employer: QuanTech Partners
This hedge fund offers an exceptional work environment for a Quantitative Developer, where you will have the unique opportunity to work closely with portfolio managers and researchers, directly influencing trading strategies. With a flat and collaborative culture, employees are encouraged to take ownership of their projects from day one, ensuring rapid technical growth and the chance to implement innovative ideas in a fast-paced setting. The firm prioritises employee development and provides access to cutting-edge technology, making it an ideal place for those seeking meaningful and rewarding careers in finance and technology.
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We think you need these skills to ace Quantitative Developer in London
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