Intropic1mo ago

Quantrepreneur - Quantitative Developer

LondonFull-Timemid

OtherQuantitative Developer

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Quick Summary

Overview

Who We Are We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation.

Technical Tools

numpypandaspythonsqlci-cdetl

Who We Are

We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning. Read a spotlight on Intropic here. Join us to help the world unlock the true power of information.

Who We Look For

We are looking for individuals who not only possess strong technical and analytical skills but also have an entrepreneurial spirit and want to make an impact. We’re looking for top-tier talent, driven innovators and problem solvers to join our 2026 internship program - a unique opportunity to work across a spectrum of disciplines. If you have founded your own venture, built a product from the ground up, or launched an ambitious project during your studies, we want to hear from you!

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

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.