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For Companies At a Glance
- Tasks: Join a top hedge fund as a Quantitative Researcher, focusing on investment and portfolio construction.
- Company: Work with a Global Top10 Hedgefund that’s changing the industry for the better.
- Benefits: Enjoy a dynamic work environment in London with opportunities for growth and innovation.
- Why this job: Be part of an exclusive research team and refine cutting-edge trading algorithms.
- Qualifications: Bachelor’s, Master’s, or PhD in STEM fields; proficiency in Python required.
- Other info: This is your chance to make a real impact in finance—apply now!
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Quantitative Researcher
An exclusive opportunity has opened at a leading global hedge fund, seeking a Quantitative Researcher (QR) to drive investment, risk, and portfolio construction within Equities.
Responsibilities:
- Play a part in improving and broadening their team's exclusive research platform.
- Refine quantitative models for execution strategies AND improve trading algorithms.
- Maintain open communication with the Senior Portfolio Manager and trading team during investment activities.
- Monitor and analyse trading performance, identifying areas for improvement and optimization.
- Stay updated on the latest technologies and tools, such as technical libraries, computing setups, and academic studies.
Preferred Experience:
- Educational background: Bachelor’s, Master’s, or PhD in Statistics, Econometrics, Computer Science, Astrophysics, Astronomy, or related STEM fields with a focus on data analysis
- Proven experience developing short-term trading strategies in macro-markets such as futures, currencies, or interest rates.
- Proficiency in Python.
The Bottom Line
If this job posting seems different from those of our competitors, it’s because our clients really are different: it’s not just a slogan or a mantra. We are out to change an industry by building a better mousetrap. No tricks, no games, just top-tier candidates and excellent service to our clients. To do that, we need to hire the best of the best. So, what are you waiting for? Apply now!
Contact Information:
For a confidential discussion about this role, or to discuss similar opportunities in the investment management sector, please call Sean Sweeney or Gavin Mulhern at CW Talent Solutions on +353 (0)1 5543680.
sean@cwtalentsolutions.com
Quantitative Researcher employer: CW Talent Solutions
Contact Detail:
CW Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Make sure to showcase your experience with quantitative models and trading algorithms during the interview. Be prepared to discuss specific projects or strategies you've developed in the past.
✨Tip Number 2
Stay updated on the latest trends in quantitative research and trading technologies. Mention any recent tools or libraries you’ve worked with that could be relevant to the role.
✨Tip Number 3
Demonstrate your ability to communicate effectively with both technical and non-technical team members. Prepare examples of how you've collaborated with portfolio managers or trading teams in previous roles.
✨Tip Number 4
Highlight your proficiency in Python by discussing specific applications or projects where you've utilized it for data analysis or model development. This will show your technical skills are aligned with the job requirements.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your educational background and relevant experience in quantitative research, particularly in developing trading strategies. Emphasize your proficiency in Python and any specific projects that showcase your skills.
Craft a Strong Cover Letter: Write a cover letter that reflects your passion for quantitative research and investment management. Mention how your background aligns with the responsibilities of the role and express your enthusiasm for contributing to the team’s research platform.
Showcase Relevant Projects: Include specific examples of past projects or experiences where you refined quantitative models or improved trading algorithms. This will demonstrate your hands-on experience and ability to contribute effectively to the team.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to the latest technologies and tools in quantitative research. This shows your commitment to staying updated in a fast-evolving field.
How to prepare for a job interview at CW Talent Solutions
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative models and trading algorithms. Highlight specific projects where you refined execution strategies or improved trading performance.
✨Demonstrate Your Technical Proficiency
Since proficiency in Python is crucial, be ready to talk about your coding experience. You might even be asked to solve a problem on the spot, so brush up on your programming skills beforehand.
✨Stay Updated on Industry Trends
Research the latest technologies and tools in quantitative finance. Being knowledgeable about current trends will show your passion for the field and your commitment to continuous learning.
✨Communicate Effectively
Since maintaining open communication with the Senior Portfolio Manager and trading team is essential, practice articulating your thoughts clearly. Be ready to discuss how you would approach collaboration in a team setting.
