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For Companies At a Glance
- Tasks: Build impactful tools and workflows for trading and research with a collaborative team.
- Company: Join Squarepoint, a forward-thinking tech company in finance.
- Benefits: Competitive salary, growth opportunities, and a supportive work culture.
- Why this job: Shape the future of technology while enhancing your skills in a dynamic environment.
- Qualifications: Strong programming skills in Python or C++, and a degree in a scientific discipline.
- Other info: Experience a transparent culture focused on continuous improvement and real-world impact.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We’re looking for pragmatic, motivated Quantitative Developers to join Squarepoint. You’ll work directly with quantitative researchers and other technologists to build high‑impact tools, analytics, and workflows that support trading, research, and risk processes. You don’t necessarily need a finance background; curiosity, solid engineering skills, and a product‑focused mindset matter most.
What You’ll Do
- Collaborate closely with quantitative researchers to understand their needs, define solutions, and deliver high‑value improvements.
- Design and implement Python libraries, pipelines, and services used to orchestrate workflows, compute analytics, price instruments, evaluate research, or calculate risk.
- Optimise and modernise existing components, improving performance, maintainability, and reliability.
- Drive iterative progress: ship MVPs, gather feedback, refine, and evolve solutions.
- Work alongside global Technology teams to ensure consistency and reuse of core components.
- Take full ownership of projects across the engineering lifecycle from design to deployment and monitoring.
What Makes You a Great Fit
- Mindset & Approach: Pragmatic, delivery‑oriented, and comfortable prioritising what drives real value. A self‑starter who takes ownership, communicates clearly, and collaborates effectively. Curious and adaptive - keen to learn, iterate, and improve.
- Technical Capabilities: Strong programming experience (Python, C++, or KDB+/q). Comfortable working in Linux environments. Familiar with modern development practices: version control, testing, CI, logging/monitoring. Good understanding of data structures, algorithms, and building clean, reliable code - and good debugging skills. Experience with data processing, storage, or analytics. Financial knowledge is not required, though interest is welcomed.
What You’ll Bring
- Degree in Computer Science, Engineering, or another scientific discipline.
- 3+ years of hands‑on software development experience.
- Excellent communication skills - able to work with both technical and non‑technical collaborators.
- A holistic view: you consider the broader system and organisational impact of your work.
- A practical approach: you keep things simple, avoid over‑engineering, and iterate with user feedback.
Why Join Us?
You’ll work in a highly collaborative team with strong engineering culture and visibility into real trading and research workflows. You’ll help shape the future of our Technology stack while growing your technical and domain skills. You’ll operate in an environment that values transparency, continuous improvement, and practical thinking.
Quantitative Developer employer: Squarepoint
Contact Detail:
Squarepoint 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 current employees at Squarepoint on LinkedIn or attend industry meetups. A friendly chat can give you insights into the company culture and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any relevant work. This is a great way to demonstrate your coding abilities and problem-solving mindset without needing a finance background.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank. We want to see how you think and solve problems, so be ready to showcase your thought process!
✨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 at Squarepoint.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Show Your Curiosity: When writing your application, let your curiosity shine through! Share examples of how you've tackled challenges or learned new skills. We love seeing candidates who are eager to grow and adapt.
Highlight Your Technical Skills: Make sure to showcase your programming experience, especially with Python or C++. We want to see how you've used these skills in real projects, so don’t hold back on the details!
Keep It Simple and Clear: We appreciate a straightforward approach. Avoid jargon and keep your application easy to read. Clearly communicate your experiences and how they relate to the role – we’re all about clarity!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Squarepoint
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python, C++, or KDB+/q. Be ready to discuss your past projects and how you've used these languages to solve real problems. It’s all about showing that you can deliver high-value improvements!
✨Understand the Role of Collaboration
Since you'll be working closely with quantitative researchers, think about how you can demonstrate your ability to communicate effectively with both technical and non-technical team members. Prepare examples of how you've collaborated in the past to drive projects forward.
✨Show Your Curiosity and Adaptability
They’re looking for someone who is curious and eager to learn. Be prepared to discuss how you've iterated on solutions based on feedback and how you approach learning new technologies or concepts. This mindset will resonate well with their values.
✨Think Holistically About Your Work
During the interview, highlight your understanding of the broader system impact of your work. Discuss how you keep things simple and avoid over-engineering. They want to see that you can take ownership of projects from design to deployment while considering the overall organisational impact.