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- Tasks: Enhance financial-data products by developing production-ready code and managing data pipelines.
- Company: Exciting fintech startup focused on innovation and collaboration.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Make a significant impact on product and research direction in a dynamic environment.
- Qualifications: STEM graduates with strong Python and SQL coding skills.
- Other info: Join us in early 2026 and shape the future of fintech!
The predicted salary is between 36000 - 60000 £ per year.
A fintech startup is seeking a quantitative developer who excels in Python and SQL to enhance their financial-data products. The role involves collaborating with product managers and analysts, developing production-ready code, and managing data processing pipelines.
Ideal candidates are STEM graduates with strong coding abilities and communication skills. This full-time position is expected to start in early 2026, providing a chance to impact product and research direction significantly.
Quantitative Developer — Fintech Data & Trading Tools employer: Intropic
Contact Detail:
Intropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer — Fintech Data & Trading Tools
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at startups. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on a job or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the fintech landscape. Practice common coding challenges and be ready to discuss how your work can enhance financial-data products.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Quantitative Developer — Fintech Data & Trading Tools
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these languages in real projects, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. We love seeing candidates who understand our needs and can demonstrate how they fit into our fintech world.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and what you can bring to the team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Intropic
✨Master Your Coding Skills
Make sure you brush up on your Python and SQL skills before the interview. Practise coding challenges that focus on data manipulation and algorithm design, as these are likely to come up during technical assessments.
✨Know the Fintech Landscape
Familiarise yourself with current trends in fintech, especially those related to data and trading tools. Being able to discuss recent developments or innovations will show your passion for the industry and your potential to contribute meaningfully.
✨Prepare for Collaboration Questions
Since the role involves working closely with product managers and analysts, be ready to discuss your past experiences in team settings. Think of examples where you successfully collaborated on projects, highlighting your communication skills and ability to adapt.
✨Showcase Your Problem-Solving Approach
During the interview, be prepared to walk through your thought process when tackling complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you approach challenges and develop production-ready code.
