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For Companies At a Glance
- Tasks: Develop innovative tools and systems at the intersection of quantitative research and engineering.
- Company: Rapidly growing start-up backed by leading venture capitalists, focused on unlocking information power.
- Benefits: Dynamic internship with potential for full-time role, working alongside passionate innovators.
- Other info: 10-week internship in London with opportunities for personal and professional growth.
- Why this job: Make a real impact in finance while developing your skills in a fast-paced environment.
- Qualifications: STEM, Mathematics, Physics, Engineering, Economics or Finance students with strong Python skills.
The predicted salary is between 20000 - 30000 £ per year.
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. 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!
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 fast paced 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.
Why Join Us
This 10 week internship will offer you the opportunity to experience a dynamic, multi-disciplinary role where no two days are the same. You will be working with a diverse group of smart, passionate, and entrepreneurial thinkers who will help you grow and refine your skills, providing you with opportunities that will unlock your potential.
*Please note that we do not provide immigration sponsorship for this position. This internship is on-site at our offices in 30 Churchill Place, E14 5RE, London.
Quantrepreneur - Quantitative Developer employer: Intropic
Contact Detail:
Intropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantrepreneur - Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on an opportunity or be willing to refer you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that involve Python, data analysis, or financial modelling. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and being part of our mission to unlock the power of information.
We think you need these skills to ace Quantrepreneur - Quantitative Developer
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see your genuine interest in quantitative research and how it can impact real-world decisions. Share any relevant projects or experiences that highlight your entrepreneurial spirit.
Tailor Your CV: Make sure your CV is tailored to the Quantrepreneur role. Highlight your technical skills, especially in Python and data analysis, and don’t forget to mention any experience with financial datasets. We love seeing how your background aligns with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Be specific about your experiences and how they relate to the job description. We appreciate clear communication, so keep it concise and engaging!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Intropic
✨Know Your Stuff
Make sure you brush up on your Python skills and any relevant libraries like SQL, NumPy, and Pandas. Be ready to discuss how you've used these tools in past projects or coursework, especially in relation to financial data analysis.
✨Show Your Entrepreneurial Spirit
Prepare to share examples of any ventures or projects you've initiated. Highlight your problem-solving skills and how you've taken the lead in developing solutions, as this aligns perfectly with what they’re looking for.
✨Communicate Clearly
Practice explaining complex quantitative concepts in simple terms. You’ll need to demonstrate that you can communicate effectively with both technical and non-technical audiences, so think about how you can make your ideas accessible.
✨Be Ready for Ambiguity
Expect questions that assess your comfort with uncertainty and your ability to take initiative. Think of examples where you've thrived in dynamic environments and how you approached tasks without perfectly defined guidelines.