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- Tasks: Join our quant trading team to develop models and strategies across various asset classes.
- Company: We're a leading global hedge fund known for strong returns and growth.
- Benefits: Enjoy competitive compensation and the chance to work in a dynamic, innovative environment.
- Why this job: This role offers hands-on experience in data analysis and algorithm design with real-world impact.
- Qualifications: A relevant educational background and some experience in alpha generation are required.
- Other info: This is a fantastic opportunity for growth in a fast-paced financial setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading global multi-strategy hedge fund are seeking to add talented researchers to their quant trading team in London, as part of broader global growth stemming from strong returns and broader AUM growth.
The successful candidate will be expected to develop and implement models and strategies across multiple asset classes. They will also be expected to independently conduct data analysis and design algorithms.
Applicants should have a relevant educational background, along with some previous experience of alpha generation.
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 quantitative skills and experience in alpha generation during networking events. Connect with professionals in the hedge fund industry on platforms like LinkedIn to learn more about their experiences and insights.
✨Tip Number 2
Stay updated on the latest trends in quantitative finance and algorithmic trading. Follow relevant blogs, podcasts, and research papers to discuss these topics during interviews, demonstrating your passion and knowledge.
✨Tip Number 3
Participate in hackathons or coding competitions focused on finance and data analysis. This will not only sharpen your skills but also provide you with tangible projects to discuss with potential employers.
✨Tip Number 4
Consider reaching out to current or former employees of the hedge fund for informational interviews. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Quantitative Researcher. Familiarize yourself with the key skills required, such as model development, data analysis, and algorithm design.
Highlight Relevant Experience: In your CV and cover letter, emphasize any previous experience related to alpha generation and quantitative research. Use specific examples to demonstrate your expertise in developing models and strategies.
Showcase Your Educational Background: Clearly outline your educational qualifications that are relevant to the role. If you have advanced degrees or certifications in quantitative fields, make sure to highlight them prominently.
Tailor Your Application: Customize your application materials to reflect the specific requirements mentioned in the job description. Use keywords from the listing to ensure your application stands out to recruiters.
How to prepare for a job interview at Capital Markets Recruitment
✨Showcase Your Analytical Skills
Be prepared to discuss your previous experience with data analysis and algorithm design. Highlight specific projects where you successfully developed models or strategies, and be ready to explain your thought process.
✨Understand the Asset Classes
Familiarize yourself with the different asset classes relevant to the hedge fund's trading strategies. Demonstrating knowledge in this area will show that you are well-prepared and understand the broader context of your role.
✨Prepare for Technical Questions
Expect technical questions related to quantitative research and alpha generation. Brush up on key concepts, methodologies, and any relevant programming languages or tools that are commonly used in the industry.
✨Demonstrate Independent Thinking
Since the role requires independent conduct of data analysis, be ready to discuss how you approach problem-solving and decision-making. Share examples of how you've taken initiative in past roles to drive results.
