Quantitative Trader

Quantitative Trader

City of London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • 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 and direct mentorship in a collaborative environment.
  • Why this job: Work on complex problems with autonomy and make a real impact from day one.
  • Qualifications: Strong quantitative skills and a background in technical or mathematical disciplines required.
  • Other info: This is a rare opportunity for early-career professionals to thrive in finance.

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

As a leading systematic proprietary trading firm in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With top-of-market compensation and real-time exposure to strategy development, our early-career Quant Traders benefit from direct mentorship and the opportunity to make a significant impact from day one. Join us to work alongside a high-calibre team in a fast-paced environment where your ideas can quickly transform into actionable strategies.
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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. Being well-versed in current market conditions and technological advancements will help you stand out during discussions with the team.

✨Tip Number 2

Network with professionals in the quantitative finance space. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and gain insights into the firm’s culture and expectations.

✨Tip Number 3

Brush up on your programming skills, particularly in languages commonly used in quantitative trading like Python or R. Demonstrating your ability to code effectively can give you an edge in technical discussions during the interview process.

✨Tip Number 4

Prepare to discuss your previous experiences with data analysis and trading strategies. Be ready to share specific examples of how you've used quantitative methods to solve problems or improve performance in past roles.

We think you need these skills to ace Quantitative Trader

Quantitative Analysis
Statistical Modelling
Algorithm Development
High-Frequency Trading
Data Analysis
Risk Management
Programming Skills (Python, R, C++)
Financial Modelling
Market Research
Execution Optimisation
Problem-Solving Skills
Attention to Detail
Collaboration Skills
Adaptability to Market Changes

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 Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the firm. Discuss how your academic background and experiences align with their requirements, particularly your ability to adapt strategies in real-time and collaborate with teams.

Showcase Relevant Projects: If you have worked on any projects related to trading or data analysis, be sure to include them in your application. Highlight your contributions and the impact of these projects, especially those that involved uncovering new trading opportunities.

Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no grammatical errors or typos, as attention to detail is crucial in the quantitative finance field.

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 Trading Environment

Familiarise yourself with high-frequency trading and systematic strategies. Demonstrating knowledge about current market trends and how they affect trading can set you apart from other candidates.

✨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.

✨Emphasise Collaboration

Highlight your ability to work in a team, especially with researchers and engineers. Share examples of how you've successfully collaborated on projects, as teamwork is crucial in this role.

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