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- Tasks: Trade live markets and adapt strategies in real-time with a talented team.
- Company: Join a leading systematic proprietary trading firm known for innovation and excellence.
- Benefits: Enjoy top-of-market compensation, mentorship, and a collaborative environment.
- Why this job: Work on high-impact problems in a fast-paced, intellectually rewarding setting.
- Qualifications: Strong quantitative skills and a background in trading or quantitative research required.
- Other info: Opportunity for direct mentorship and ownership of projects from day one.
The predicted salary is between 43200 - 72000 £ per year.
A leading systematic proprietary trading firm is seeking an early-career Quant Trader to join their London office. With a decades-long track record of success in high-frequency trading, the firm has earned a reputation for technical excellence and innovation. Their teams span trading, research, and engineering, and they consistently operate at the cutting edge of quantitative finance.
What You’ll Do:
- Trade live markets and adapt strategies in response to real-time events and changing economic conditions.
- Collaborate with a high-calibre team of researchers and engineers to refine alpha signals, optimise execution, and improve strategy performance on an ultra-low-latency platform.
- Take early ownership of projects that use data to uncover and develop new trading opportunities.
What They’re Looking For:
- Strong quantitative and analytical skills.
- Experience or exposure to trading, quantitative research, or systematic strategies.
- A top academic background in a technical or mathematical discipline.
- Minimum 1 year of experience working on the buyside.
Why Apply:
- Top-of-market compensation.
- Real-time exposure to strategy development and execution.
- A collaborative, technically driven environment where ideas move quickly from research to production.
- Small-team structure with direct mentorship and high impact from day one.
- Willing to wait out non-compete periods if needed.
This is a rare opportunity to work on complex, high-impact problems in a fast-paced and intellectually rewarding environment — with the infrastructure, support, and autonomy to thrive.
Apply for a confidential call to find out more about the team and role.
Quantitative Trader employer: Campbell North
Contact Detail:
Campbell North Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and high-frequency trading. This will not only help you understand the firm's operations better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the quantitative finance space. Attend industry conferences, webinars, or local meetups to connect with people who can provide insights into the firm and potentially refer you for the position.
✨Tip Number 3
Brush up on your programming skills, particularly in languages commonly used in quantitative trading like Python or R. Being able to demonstrate your coding abilities can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experiences in trading or quantitative research in detail. Be ready to explain how your analytical skills have contributed to successful outcomes in past projects, as this will showcase your potential value to the team.
We think you need these skills to ace Quantitative Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative and analytical skills, as well as any relevant experience in trading or quantitative research. Use specific examples to demonstrate your expertise in systematic strategies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative finance and explain why you are interested in this particular role. Mention how your academic background and experience align with the firm's focus on innovation and technical excellence.
Showcase Relevant Projects: If you have worked on any projects related to trading or data analysis, be sure to include them in your application. Describe your role, the tools you used, and the outcomes of these projects to illustrate your hands-on experience.
Highlight Team Collaboration: Since the role involves collaboration with researchers and engineers, emphasise any experiences where you successfully worked in a team setting. This could include group projects during your studies or previous work experiences that required teamwork.
How to prepare for a job interview at Campbell North
✨Showcase Your Quantitative Skills
Be prepared to discuss your quantitative and analytical skills in detail. Bring examples of past projects or experiences where you applied these skills, especially in trading or research contexts.
✨Understand the Firm's Trading Strategies
Research the firm's trading strategies and be ready to discuss how you can contribute to refining alpha signals and optimising execution. Demonstrating knowledge of their approach will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to quantitative finance, algorithms, and data analysis. Brush up on relevant mathematical concepts and be ready to solve problems on the spot to showcase your critical thinking.
✨Emphasise Collaboration and Teamwork
Highlight your ability to work collaboratively with researchers and engineers. Share examples of how you've successfully worked in teams to tackle complex problems, as this is crucial in a high-calibre environment.
