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- Tasks: Join a top hedge fund as a Quantitative Researcher, focusing on investment and portfolio construction.
- Company: Work with a Global Top10 Hedgefund in their London office, aiming to innovate the industry.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and cutting-edge technology.
- Why this job: Be part of a team that values excellence and is dedicated to changing the finance landscape.
- Qualifications: Bachelor’s, Master’s, or PhD in STEM fields; experience in trading strategies; proficiency in Python required.
- Other info: Contact Sean Sweeney or Gavin Mulhern for a confidential discussion about this exciting opportunity.
The predicted salary is between 43200 - 72000 £ per year.
An exciting opportunity to a Global Top10 Hedgefund has come live and they are currently seeking QR to join their London office.
You/ The role holder will be responsible for 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.
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. Highlight any specific projects or strategies you've developed that demonstrate your ability to improve execution strategies.
✨Tip Number 2
Stay updated on the latest technologies and tools in the field. Mention any relevant technical libraries or computing setups you are familiar with, as this shows your commitment to continuous learning and improvement.
✨Tip Number 3
Emphasize your communication skills, especially your ability to collaborate with senior portfolio managers and trading teams. Provide examples of how you've successfully worked in a team environment to achieve investment goals.
✨Tip Number 4
If you have experience in macro-markets like futures or currencies, make sure to highlight it. Discuss any short-term trading strategies you've developed and the outcomes, as this will align well with the role's requirements.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in developing trading strategies and using Python. Emphasize any educational background in Statistics, Econometrics, or related STEM fields.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills and experiences align with the responsibilities mentioned in the job description, especially your ability to refine quantitative models and improve trading algorithms.
Showcase Relevant Projects: If you have worked on projects related to investment, risk analysis, or portfolio construction, be sure to include them in your application. Highlight specific outcomes and technologies used, particularly any experience with technical libraries or academic studies.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail during the interview process. Brush up on your knowledge of quantitative models, trading algorithms, and any relevant programming languages, especially Python.
How to prepare for a job interview at CW Talent Solutions
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant quantitative modeling techniques. Be prepared to discuss specific projects or algorithms you've developed, as this will demonstrate your hands-on experience.
✨Understand the Market Dynamics
Familiarize yourself with macro-markets such as futures, currencies, and interest rates. Being able to discuss current trends and how they impact trading strategies will show that you are not only knowledgeable but also engaged with the industry.
✨Communicate Effectively
Since the role involves maintaining open communication with the Senior Portfolio Manager and trading team, practice articulating your thoughts clearly. Prepare to explain complex concepts in a way that is understandable to those who may not have a technical background.
✨Stay Updated on Industry Tools
Research the latest technologies and tools used in quantitative research and trading. Mention any specific technical libraries or computing setups you are familiar with, as this shows your commitment to staying at the forefront of the field.
