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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 drive innovation 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. 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. Consider working on personal projects that showcase your ability to build predictive models and analyse large datasets.
✨Tip Number 4
Prepare to discuss specific examples of how you've applied quantitative methods in previous roles. Be ready to explain your thought process and the impact of your work on investment decisions, as this will demonstrate your value to the team.
We think you need these skills to ace Quantitative Researcher - Fundamental Equities
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Quantitative Researcher in Fundamental Equities. Familiarise yourself with the key skills mentioned in the job description, such as proficiency in Python and experience with data science techniques.
Tailor Your CV: Customise your CV to highlight relevant experience in quantitative research or data science. Emphasise your knowledge of fundamental investing and equity markets, and include specific examples of predictive models or tools you've developed.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative research and how your skills align with the firm's goals. Mention any experience working with large datasets and your ability to collaborate with teams, as these are crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is vital in this field.
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. Be prepared to discuss specific projects where you've applied these skills, especially in the context of quantitative research.
✨Understand Fundamental Investing
Demonstrate a solid understanding of fundamental investing principles and equity markets. Be ready to discuss how you can apply quantitative methods to enhance investment processes and support stock selection.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Practice articulating your thought process clearly and logically, as this will showcase your analytical skills and ability to tackle complex issues.
✨Emphasise Collaboration Experience
Since the role involves working closely with Portfolio Managers and Analysts, be sure to share examples of past collaborative projects. Highlight how you contributed to team success and drove innovation through teamwork.
