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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 innovative approach.
- Benefits: Enjoy competitive pay with performance bonuses and opportunities for growth.
- Why this job: Be part of a high-performing culture that values data-driven decision making.
- Qualifications: 2+ years in quantitative research or data science, with Python expertise.
- Other info: Ideal for those passionate about finance and technology.
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 Researcher - 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 Researcher - Hedge Fund
✨Tip Number 1
Network with professionals in the hedge fund industry, especially those working in quantitative research. Attend industry conferences or webinars to meet potential colleagues and learn about the latest trends in data analysis and machine learning.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies used in quantitative research at hedge funds. Brush up on your Python skills and explore libraries like Pandas, NumPy, and Scikit-learn, as these are often essential for building predictive models.
✨Tip Number 3
Stay updated on market trends and alternative data sources that can enhance investment strategies. Understanding how to leverage these insights will make you a more attractive candidate for the role.
✨Tip Number 4
Prepare to discuss your previous projects and experiences in quantitative research during interviews. Be ready to explain your thought process, methodologies, and the impact of your work on investment decisions.
We think you need these skills to ace Quantitative Researcher - 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 any relevant projects or case studies, consider including links or descriptions in your application. This could be anything from personal projects to contributions to open-source initiatives that showcase your analytical skills.
Highlight Team Collaboration: Since the role involves partnering with Fundamental Analysts, mention any past experiences where you've successfully collaborated with others. This will show your ability to work within a team and enhance investment processes through data analysis.
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 will help you articulate your thought process and problem-solving abilities clearly.
✨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.
