Quantitative Developer Intern

Apply to us if -

You are a STEM, Mathematics, Physics, Engineering, Economics or Finance student (undergraduate or masters) eligible for a 10-week internship role in 2026 with a possibility to convert to full time work after the internship.
Strong interest in operating at the intersection of maths, coding, and finance, with a desire to develop across all three.
Solid Python skills, with the ability to write clean, maintainable code (experience with SQL, NumPy, Pandas or similar is a plus).
You enjoy translating quantitative ideas into working systems, not just modelling on paper, but actually building things that run.
Experience working with data (financial or otherwise), applying statistical thinking to analyse, transform, and extract insights.
Are a self starter, comfortable taking initiative and working independently in a past faced and dynamic environment.
Comfortable with ambiguity and ownership; able to make progress without perfectly defined tasks.
Strong analytical thinking combined with clear communication skills, both for technical and non-technical audiences.
Genuine interest in financial markets and how quantitative research can drive real-world decisions

What you'll be doing

• Work at the intersection of quantitative research and engineering, developing research ideas while also making production-ready tools and data products.
• Build and extend Python-based systems for analysing and processing large financial datasets.
• Develop data pipelines, APIs, and internal tools that power real trading and research workflows.
• Collaborate closely with other researchers, engineers and product leads to define problems and ship solutions end-to-end.
• Contribute to the implementation and operationalisation of quantitative models, ensuring they are robust, scalable, and reproducible.
• Analyse financial data using Python and SQL, and help surface insights that feed directly into product and research decisions.
• Participate in deploying and maintaining systems in production environments (cloud, CI/CD, monitoring).
• Engage with internal stakeholders (and occasionally clients) to understand how your work is used and iterate based on feedback.
• Take ownership of a meaningful project over the 10 weeks, with the opportunity to shape both the technical approach and the outcome.