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- Tasks: Conduct deep research and develop systematic equity strategies in a collaborative environment.
- Company: Join a leading global investment management firm with a top-tier quantitative team.
- Benefits: Enjoy competitive pay, cutting-edge technology, and opportunities for professional growth.
- Why this job: Make an impact in the finance world with innovative strategies and a supportive team.
- Qualifications: Experience in quantitative research or relevant PhD exposure; open to diverse backgrounds.
- Other info: Thriving culture that values creativity, autonomy, and collaboration.
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.
Typical 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 | Buy-side in London employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher – Systematic Equities | Buy-side in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm or similar companies on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss your experience with signal generation and execution dynamics. We want you to shine!
✨Tip Number 3
Show off your creativity! When discussing your past projects, highlight how you’ve approached problems in unique ways. This is key in a role that values measured creativity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Quant Researcher – Systematic Equities | Buy-side in London
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 how you can contribute to our team.
Keep It Clear and Concise: When writing your application, clarity is key. Keep your language straightforward and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Barclay Simpson
✨Know Your Quant Basics
Brush up on your quantitative finance fundamentals. Be prepared to discuss concepts like signal generation, execution dynamics, and systematic equity strategies. This will show that you have a solid grasp of the core principles that drive the role.
✨Showcase Your Experience
Whether you have 2-3 years of experience or a PhD, be ready to highlight specific projects or research you've worked on. Discuss how your background, even if non-traditional, has equipped you with unique insights into algorithmic execution or market microstructure.
✨Emphasise Collaboration
This role thrives on teamwork, so be sure to share examples of how you've successfully collaborated in past projects. Highlight your ability to work autonomously while also contributing to a team environment, as this balance is key in their culture.
✨Prepare for Technical Questions
Expect technical questions that test your analytical skills and problem-solving abilities. Practice coding challenges or quantitative problems relevant to systematic equities. This preparation will help you feel confident and ready to tackle any curveballs during the interview.
