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- Tasks: Develop a cutting-edge Python-based research platform for quantitative trading.
- Company: Join a leading global prop trading firm shaping the future of finance.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for rapid growth.
- Why this job: Be part of a flat team where your contributions directly impact innovative projects.
- Qualifications: 2–10 years in high-performance environments with advanced Python skills required.
- Other info: Open to diverse backgrounds; experience with Docker or Golang is a plus.
How many opportunities will you get to develop a greenfield platform that directly shapes the future of a multi-billion-dollar prop trading business? Here, you’ll develop a proprietary Python-based research platform from scratch for one of the leading Quantitative Traders globally. The challenge isn’t just performance or raw throughput - though both matter. It’s building a flexible, robust system capable of supporting a wide range of research workflows, each with its own quirks, data dependencies, and computational demands.
You won’t just be writing clean, efficient Python, you’ll be working directly with researchers to understand their methodology, tooling, and pain points. The system you help design will either accelerate the productivity of some of the smartest minds in quantitative finance - or get in their way. There’s no single background that guarantees success here, but mastery of Python, a deep understanding of system design, and a collaborative mindset are non-negotiable.
While most of the team comes from big-tech, there’s space for exceptional buy-siders too. Here, culture matters. This is a flat, collaborative team with no space for ego. They move fast, build carefully, and share success (and failures) together. If you’re looking for a heads-down, siloed role, this isn’t the right fit. If you want to be involved from the beginning - shaping how this platform evolves from scratch - now is the time to reach out.
What they’re looking for:
- 2–10 years of experience in a high-performance, engineering-driven environment
- Advanced Python proficiency
- Experience designing and building complex, data-intensive systems
- Strong Linux fundamentals
- Excellent communication skills and a comfort working closely with non-engineering stakeholders
Great to have:
- Experience with containerization (e.g., Docker, K8)
- Exposure to Golang
If this sounds interesting - or if you’re simply curious to learn more - reach out for a conversation. The team is actively hiring and will move quickly for the right person.
Software Developer (Research Infrastructure) - £350/500,000 - Quantitative Trading employer: Campbell North Ltd.
Contact Detail:
Campbell North Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Developer (Research Infrastructure) - £350/500,000 - Quantitative Trading
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and research infrastructure. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Python skills, especially focusing on performance optimisation and system design. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to build complex, data-intensive systems.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend relevant meetups or online forums where you can connect with others in the industry, as referrals can significantly boost your chances of landing an interview.
✨Tip Number 4
Prepare to discuss your collaborative experiences in previous roles. Since this position values teamwork and communication, be ready to share examples of how you've successfully worked with non-engineering stakeholders to achieve common goals.
We think you need these skills to ace Software Developer (Research Infrastructure) - £350/500,000 - Quantitative Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and system design. Include specific projects where you've built complex, data-intensive systems, and emphasise any collaborative work with non-engineering stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for developing a greenfield platform. Discuss how your background aligns with the role's requirements and mention your understanding of the challenges in quantitative trading.
Showcase Relevant Experience: When detailing your work experience, focus on roles that demonstrate your advanced Python proficiency and your ability to work in high-performance environments. Mention any experience with containerization tools like Docker or Kubernetes if applicable.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during interviews. Prepare examples of how you've approached system design challenges and collaborated with researchers or other stakeholders to solve problems.
How to prepare for a job interview at Campbell North Ltd.
✨Showcase Your Python Mastery
Make sure to highlight your advanced Python skills during the interview. Be prepared to discuss specific projects where you've used Python to solve complex problems, especially in data-intensive environments.
✨Demonstrate System Design Knowledge
Be ready to talk about your experience in designing and building complex systems. Discuss the challenges you faced and how you overcame them, focusing on flexibility and robustness in your designs.
✨Emphasise Collaboration Skills
Since this role requires working closely with researchers, demonstrate your ability to communicate effectively with non-engineering stakeholders. Share examples of how you've collaborated in past roles to achieve common goals.
✨Prepare for Technical Questions
Expect technical questions related to Linux fundamentals and system performance. Brush up on these topics and be ready to explain your thought process when tackling technical challenges.
