Quant Researcher – Systematic Equities
Quant Researcher – Systematic Equities

Quant Researcher – Systematic Equities

Entry level 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a leading investment firm to develop systematic equity strategies and collaborate on innovative research.
  • Company: Global investment management firm with one of the largest quantitative teams in the industry.
  • Benefits: Competitive salary, dynamic work environment, and access to world-class data and technology.
  • Why this job: Make an impact in next-gen systematic equities while working with top-tier professionals.
  • Qualifications: Experience in quantitative research or relevant PhD exposure; open to diverse backgrounds.
  • Other info: Ideal for those who thrive on collaboration, autonomy, and creativity.

The predicted salary is between 36000 - 60000 £ per year.

We’re partnered with a global investment management firm that has one of the largest quantitative investment teams in the industry. They’re expanding their next-generation systematic equities group, focusing on Equity L/S, Mid-Frequency, Stat-Arb, and Systematic Equity Strategies.

Target profiles

  • Junior: 2–3 years’ experience or equivalent PhD-level exposure
  • Mid-Level: 5–10 years, ideally with multi-asset experience

They’re also open to non-traditional quant backgrounds, including algorithmic execution and market microstructure, as these bring valuable implementation insight. Candidates who understand both signal generation and execution dynamics stand out.

This environment suits people who thrive on collaboration, deep research, autonomy, and measured creativity, supported by world-class data, technology, and teammates.

If you’re exploring next-gen systematic opportunities, I’d love to connect. Please send your CV to tg@barclaysimpson.com (Only those with the RTW in the UK will be considered at this time).

Quant Researcher – Systematic Equities employer: Barclay Simpson

Join a leading global investment management firm renowned for its expansive quantitative investment team, where collaboration and innovation are at the forefront of our work culture. With access to cutting-edge technology and world-class data, we offer exceptional growth opportunities for Quant Researchers in a dynamic environment that values creativity and diverse backgrounds. Located in the UK, this role provides a unique chance to contribute to next-generation systematic equity strategies while working alongside industry experts.
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Contact Detail:

Barclay Simpson Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quant Researcher – Systematic Equities

Tip Number 1

Network like a pro! Reach out to current or former employees in the systematic equities space. A friendly chat can give us insights into the company culture and maybe even a referral.

Tip Number 2

Show off your skills! Prepare a portfolio of your quantitative research projects or any relevant work. This will help us demonstrate our expertise and creativity during interviews.

Tip Number 3

Stay updated on industry trends! Follow the latest developments in systematic equities and be ready to discuss them. It shows we’re passionate and knowledgeable, which can really impress interviewers.

Tip Number 4

Apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the team and makes it easier for recruiters to find us.

We think you need these skills to ace Quant Researcher – Systematic Equities

Quantitative Analysis
Equity L/S Strategies
Mid-Frequency Trading
Statistical Arbitrage
Systematic Equity Strategies
Algorithmic Execution
Market Microstructure
Signal Generation
Execution Dynamics
Collaboration
Research Skills
Autonomy
Creativity
Data Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Quant Researcher role. Highlight relevant experience, especially in systematic equities and any algorithmic execution you've done. We want to see how your background aligns with what we're looking for!

Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work or projects that showcase your understanding of signal generation and execution dynamics. This will help us see your potential impact on our team.

Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Avoid jargon unless it’s necessary, and make sure we can easily see your qualifications and enthusiasm for the role.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the right opportunities. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Barclay Simpson

Know Your Quant Basics

Make sure you brush up on your quantitative finance fundamentals. Understand key concepts like signal generation and execution dynamics, as these are crucial for the role. Being able to discuss these topics confidently will show that you’re well-prepared and knowledgeable.

Showcase Your Collaboration Skills

Since this role thrives on collaboration, be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to a project or solved a problem collectively, as this will resonate well with the interviewers.

Demonstrate Your Research Acumen

Prepare to discuss your research methodologies and any relevant projects you've worked on. Be specific about your approach to data analysis and how you’ve applied it in real-world scenarios. This will help illustrate your analytical skills and creativity.

Ask Insightful Questions

Interviews are a two-way street, so come prepared with thoughtful questions about the firm’s systematic equity strategies and team dynamics. This not only shows your interest but also helps you gauge if the environment aligns with your career goals.

Quant Researcher – Systematic Equities
Barclay Simpson

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