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For Companies At a Glance
- 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, performance bonuses, and access to top-tier resources.
- Why this job: Be part of a cutting-edge research team shaping the future of equity investing.
- Qualifications: 2+ years in quantitative research; strong Python skills and knowledge of equity markets required.
- Other info: Collaborate globally and apply machine learning techniques to real-world financial challenges.
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. You will work closely with Portfolio Managers and Analysts to generate investment insights through rigorous quantitative methods.
Key Responsibilities:- 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
- Develop tools and frameworks for fundamental signal extraction
- Apply alternative data analysis and machine learning techniques to derive actionable insights
- Collaborate across global teams to drive innovation in equity investing
- 2+ years’ experience in quantitative research or data science, ideally within a buy side or equity focused setting
- Strong knowledge of fundamental investing and equity markets
- Proficiency in Python and data science/machine learning libraries
- Experience working with large, diverse datasets (e.g., financial statements, alternative data)
- Exceptional problem-solving and communication skills
- Join a world-class investment platform with access to exceptional resources
- Competitive compensation with performance-based upside
- Work alongside leading minds in quantitative and fundamental investing
- Contribute to the evolution of fundamental equity strategies through cutting-edge research
Contact Detail:
CW Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Fundamental Equities
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and fundamental investing. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field, especially those who work in equity markets or quantitative research. Attend industry events or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Brush up on your Python skills and become proficient in data science libraries relevant to quantitative research. Being able to demonstrate your technical abilities can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific projects where you've applied quantitative methods to solve real-world problems. Highlighting your practical experience will show your capability to contribute effectively to the team.
We think you need these skills to ace Quantitative Researcher - Fundamental Equities
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 experience with machine learning libraries, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of fundamental investing and equity markets. Mention specific projects or experiences where you applied quantitative methods to derive insights, demonstrating your fit for the team.
Highlight Collaborative Experience: Since the role involves working closely with Portfolio Managers and Analysts, include examples of past collaborations. Describe how you contributed to team projects and the impact of your work on investment processes.
Showcase Problem-Solving Skills: In your application, provide examples of complex problems you've solved using quantitative analysis. This could involve building predictive models or working with large datasets, which are key aspects of the job.
How to prepare for a job interview at CW Talent Solutions
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative research and data analysis. Highlight specific projects where you've built predictive models or applied machine learning techniques, as this will demonstrate your technical expertise.
✨Understand Fundamental Investing
Familiarise yourself with fundamental investing principles and equity markets. Be ready to discuss how you can enhance investment processes using quantitative methods, as this aligns closely with the role's responsibilities.
✨Prepare for Technical Questions
Expect technical questions related to Python and data science libraries. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your proficiency in handling large datasets.
✨Demonstrate Collaboration Skills
Since the role involves working closely with Portfolio Managers and Analysts, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully partnered with others to drive innovation in research.
