Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to enhance trading signals and develop new strategies.
- Company: Work with a top global hedge fund known for innovation and excellence.
- Benefits: Enjoy competitive compensation and opportunities for professional growth.
- Why this job: Be part of a cutting-edge environment that values research and creativity.
- Qualifications: Must have research experience in algo or HFT and a relevant master's or PhD.
- Other info: Strong Python skills are essential for success in this role.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
A leading global multi-strategy hedge fund is seeking to add a quantitative researcher to one of their teams in London, under an established PM.
The successful hire will be responsible for improving existing signals and helping to expand into new signals and strategies.
Background:
- Research experience supporting algo or HFT
- Top-tier academic background, including a relevant masters/PhD
- Strong proficiency in Python
Quantitative Researcher employer: Capital Markets Recruitment
Contact Detail:
Capital Markets Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Make sure to showcase your research experience in algo or HFT during networking events. Connect with professionals in the hedge fund industry and discuss your projects to demonstrate your expertise.
✨Tip Number 2
Join online forums or communities focused on quantitative finance and algorithmic trading. Engaging in discussions can help you learn about the latest trends and may lead to job referrals.
✨Tip Number 3
Attend workshops or seminars related to quantitative research and Python programming. This not only enhances your skills but also helps you meet potential employers and industry leaders.
✨Tip Number 4
Consider contributing to open-source projects that involve quantitative analysis or algorithm development. This can strengthen your portfolio and show your commitment to the field.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Highlight Your Research Experience: Make sure to emphasize your research experience, especially if it relates to algorithmic trading or high-frequency trading (HFT). Provide specific examples of projects you've worked on and the impact they had.
Showcase Your Academic Background: Since a top-tier academic background is crucial for this role, clearly outline your educational qualifications. Include details about your master's or PhD, focusing on relevant coursework or research that aligns with quantitative finance.
Demonstrate Proficiency in Python: As strong proficiency in Python is required, include specific instances where you've used Python in your research or projects. Mention any libraries or frameworks you are familiar with that are relevant to quantitative analysis.
Tailor Your Application: Customize your CV and cover letter to reflect the job description closely. Use keywords from the job posting to demonstrate that you understand the role and its requirements, making it easier for recruiters to see your fit.
How to prepare for a job interview at Capital Markets Recruitment
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight how your work has supported algorithmic trading or high-frequency trading, and be ready to explain the methodologies you used.
✨Demonstrate Your Technical Skills
Since strong proficiency in Python is crucial for this role, make sure to showcase your coding skills. You might be asked to solve a problem or analyze data during the interview, so practice coding challenges beforehand.
✨Discuss Signal Improvement Strategies
Think about ways you could improve existing signals or develop new ones. Be ready to share your ideas and thought processes on how to approach signal enhancement and strategy expansion.
✨Highlight Your Academic Background
Your top-tier academic background is important, so be prepared to discuss your master's or PhD work. Emphasize any relevant coursework or research that aligns with quantitative finance and trading strategies.
