> Markdown version of [/jobs/ext/3520818-helix-junior-quantitative-developer](https://www.wearedevelopers.com/jobs/ext/3520818-helix-junior-quantitative-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Helix Junior Quantitative Developer - **Company:** Isam Helix - **Location:** London, UK - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Unix, Python (Programming Language), NumPy, Data Processing, Information Technology, Integration Frameworks - **Published:** October 1, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/helix-junior-quantitative-developer/49525631 ## About the Role maintain systems handling highly diversified equity portfolios. Monitor transaction costs and behaviour of a high-turnover strategy. Process and analyse vast historical datasets for research and back-testing, alongside real-time, tick-level market data for live trading. Contribute to the design and use of a high-performance, graph-based (DAG) framework enabling concurrent data processing for research and production. Monitor and manage execution quality, transaction costs and market risks arising from changing market regimes and small statistical effects. Work closely with quantitative researchers to enhance tooling, frameworks and shared feature libraries. Take ownership of system components in a fast-paced, agile environment, working both independently and collaboratively as required. Participate in live trading support, including interaction with orders and brokers as part of a rota (FCA certification required). Qualifications 3 years' experience in a technical role within the finance industry (investment bank, hedge fund and associated firms) Degree in Mathematics or Physics preferred; other STEM subjects such as Computer Science will also be considered. Python: Strong software developer with in-depth knowledge and experience. Numpy (including numba): in-depth knowledge is required. Strong knowledge of Unix systems (processes, memory, I/O). Deep understanding of statistical methods, numerical optimisation and equity market microstructure. Experience working with graph-based (DAG) data processing frameworks. Personal Attributes Highly analytical with a strong sense of ownership and accountability. Comfortable tackling complex, ambiguous problems with limited oversight. Collaborative mindset with the ability to work closely with researchers, technologists and trading operations. Calm and reliable under pressure, particularly in live trading environments. Key Outcomes Delivery of robust, scalable and high-performance systems supporting live trading. Tangible improvements to research productivity, execution quality and platform stability. Technical excellence and system ownership. #J-18808-Ljbffr