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- Tasks: Join a dynamic team to analyse data and enhance investment strategies.
- Company: Work with a prestigious investment firm known for its excellence in equities.
- Benefits: Enjoy competitive pay with performance bonuses and opportunities for growth.
- Why this job: Be part of a high-performing culture that values innovation and data-driven decisions.
- Qualifications: 2+ years in quantitative research or data science, with Python proficiency required.
- Other info: Ideal for those passionate about finance and technology in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
CW Talent Solutions is proud to partner with a world renowned investment firm in the search for elite Quantitative Researchers within its Equities business. This is an exceptional opportunity to be part of a high performing team that applies deep data analysis to fundamental investing.
We are seeking highly skilled Quantitative Researchers to join the Equities Fundamental Research team.
- Partner with Fundamental Analysts to enhance investment processes using data and quantitative research
- Build predictive models to support stock selection, portfolio construction, and risk management
- Apply alternative data analysis and machine learning techniques to derive actionable insights
2+ years’ experience in quantitative research or data science, ideally within a buy side or equity focused setting
Proficiency in Python and data science/machine learning libraries
Competitive compensation with performance-based upside
Quantitative Analyst - Hedge Fund employer: CW Talent Solutions
Contact Detail:
CW Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Hedge Fund
✨Tip Number 1
Network with professionals in the hedge fund industry. Attend finance and data science meetups or webinars to connect with people who work in quantitative research. This can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your skills in Python and machine learning through personal projects or contributions to open-source initiatives. Having a portfolio of relevant work can set you apart from other candidates and demonstrate your practical experience.
✨Tip Number 3
Stay updated on the latest trends in quantitative analysis and alternative data. Follow industry publications, blogs, and forums to understand what tools and techniques are currently being used in the field.
✨Tip Number 4
Prepare for technical interviews by practising common quantitative problems and case studies. Familiarise yourself with financial statements and how to analyse them quantitatively, as this will be crucial in demonstrating your expertise during the interview process.
We think you need these skills to ace Quantitative Analyst - Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research and data science. Emphasise your proficiency in Python and any specific libraries you've used, as well as your experience with financial statements and alternative data.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about quantitative research in the equities space. Mention any specific projects or experiences that demonstrate your ability to build predictive models and apply machine learning techniques.
Showcase Your Skills: If you have examples of your work, such as projects or case studies, consider including links or descriptions in your application. This can help illustrate your analytical skills and your ability to derive actionable insights from data.
Follow Up: After submitting your application, don't hesitate to follow up with a polite email expressing your continued interest in the position. This shows initiative and can help keep your application top of mind for the hiring team.
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 data science or machine learning libraries during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your capability to contribute effectively to the team.
✨Understand the Firm's Investment Philosophy
Research the investment firm's approach to fundamental equities and be ready to discuss how your quantitative research can enhance their investment processes. This shows that you are not only technically skilled but also aligned with their strategic goals.
✨Prepare for Case Studies
Expect to work through case studies or practical problems during the interview. Practising how to build predictive models or analyse alternative data sets beforehand will help you articulate your thought process clearly and confidently.
✨Demonstrate Collaboration Skills
Since the role involves partnering with Fundamental Analysts, be prepared to discuss your experience working in teams. Highlight instances where your collaboration led to successful outcomes, showcasing your ability to communicate complex quantitative concepts to non-technical stakeholders.
