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- Tasks: Develop and enhance financial data products using Python and SQL.
- Company: Join a fast-paced fintech startup that values innovation and ownership.
- Benefits: Full-time role with opportunities for growth and learning in a dynamic environment.
- Why this job: Make a real impact by shaping products that traders and researchers rely on.
- Qualifications: STEM graduate or final-year student with strong coding skills, especially in Python.
- Other info: Collaborate with diverse teams and tackle open-ended challenges in finance.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a quantitative developer who is passionate about working with financial data and building products that traders and researchers actually use. At Intropic you’ll join a fast-moving fintech startup where engineers own hard, open-ended problems across research, data and product — we don’t just pick up JIRA tickets. A typical week will mix Python and SQL development, deploying infrastructure changes, building new features for financial-data products, strategic planning with team leads, and attending client meetings to explain work and gather feedback. You should enjoy shipping production-grade code, be comfortable with ambiguity, collaborate closely with analysts and product teams, and take pride in clean, well-tested systems that power real trading and research workflows. We hire the person, not the CV. If you thrive on end-to-end ownership and want to help shape product and research direction, we’d love to hear from you. This is a full-time role, expected to start in the first half of 2026.
Responsibilities
- Collaborate closely with product managers, research analysts and other engineers to define project scope, translate research into product requirements, and deliver concrete technical solutions.
- Maintain, extend and improve Intropic’s suite of financial-data products, from backend data services to client-facing features.
- Design, implement and ship clean, well-tested, production-ready Python code and reusable Python libraries used across the stack.
- Build and maintain data processing pipelines that ingest, transform and validate large and heterogeneous financial datasets.
- Build production REST APIs and data services, and use SQL to analyse large relational datasets.
- Deploy production-quality code to cloud infrastructure (cloud providers, CI/CD pipelines) and own the end-to-end release process.
- Work with analysts to operationalise quantitative research: production-wise models, automate experiments, and ensure reproducible results.
Qualifications - Required
- STEM graduate (or final-year student) with demonstrable coding ability.
- Strong Python skills (other OOP languages such as Java or C++ are welcome and seen as a plus).
- Practical experience with SQL and relational databases.
- Comfortable with the command line and modern version-control workflows (example: GitHub / GitLab / Bitbucket).
- Strong communicator, able to explain technical work to both technical and non-technical audiences.
- Independent, self-driven learner who takes ownership and can work across disciplines.
- Familiarity with automated testing and general software engineering best practices (code review, CI concepts).
Qualifications - Preferable
- 0–2 years professional experience in a software engineering, quantitative developer, or data engineering role.
- Experience within the finance industry is a strong plus.
- Good working knowledge of NumPy and Pandas.
- Familiarity with backend development and async programming in Python / modern Python frameworks.
- Experience with containerisation and cloud deployments (Docker, cloud platforms such as AWS).
- Practical exposure to financial data via university projects, internships or full-time work.
Quantitative Developer employer: Intropic
Contact Detail:
Intropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work at Intropic or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any financial data analysis you've done. This is your chance to demonstrate your coding chops and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python knowledge. Be ready to discuss how you've tackled ambiguous problems in the past and how you can contribute to building products that traders will love.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Intropic.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Show Your Passion for Financial Data: When writing your application, let us know why you're excited about working with financial data. Share any relevant projects or experiences that highlight your enthusiasm and understanding of the field.
Highlight Your Coding Skills: Make sure to showcase your Python and SQL skills in your application. We want to see examples of your coding ability, so if you have any projects or contributions on GitHub, don’t forget to mention them!
Communicate Clearly: Since we value strong communication, ensure your application is clear and concise. Explain your technical work in a way that both techies and non-techies can understand. This will show us you can bridge the gap between teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Intropic
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in a financial context. This will show that you can hit the ground running.
✨Show Your Problem-Solving Skills
Prepare to talk about how you've tackled ambiguous problems in the past. Think of examples where you took ownership of a project from start to finish, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly
Since you'll need to explain technical concepts to both technical and non-technical audiences, practice articulating your ideas clearly. Use simple language to describe complex topics, and be prepared for questions that test your communication skills.
✨Demonstrate Your Passion for Finance
Show that you're genuinely interested in financial data and products. Share any relevant experiences, like university projects or internships, that highlight your enthusiasm for the finance industry and how it relates to your coding skills.
