Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive innovation in equity strategies through data analysis and collaboration.
- Company: Join a prestigious global investment firm known for cutting-edge technology and research.
- Benefits: Enjoy a dynamic work environment with opportunities for global collaboration.
- Why this job: Be part of a team where data drives decisions and impacts investment strategies.
- Qualifications: Bachelor's degree in a scientific field; strong SQL and Python skills required.
- Other info: Must be eligible to work in the UK; no remote work options available.
The predicted salary is between 43200 - 72000 £ per year.
This prestigious global investment management firm is expanding its London office, seeking intellectually curious individuals to drive innovation in equities strategies. Leveraging proprietary cutting-edge technology and rigorous scientific research, the company excels in trading, technology, and operations, and is now looking to expand their discretionary organisation. Data is not a support function here but drives the firm’s approach, with data scientists having direct and tangible communication with PMs and traders. With a true emphasis on global collaboration, their investment, technology, and operations teams are aligned functionally around the world.
Your Role:
- Develop insights and generate ideas for the equity fundamental research team using data-driven approaches.
- Collaborate across the firm to exchange results, feedback, and custom tools effectively.
- Conduct tasks such as KPI estimation and projection for companies or sectors, hypothesis testing through data analysis, building screening tools, and assessing new and existing datasets for relevance and quality.
- Gain a deep understanding of the fundamental models used by analysts and create data-driven variables to enhance these models.
- Assess the value and relevance of new datasets for specific sectors or stocks.
- Execute data-driven studies to validate or refute hypotheses for specific research ideas.
Experience/Skills Required:
- Bachelor’s degree in a scientific field.
- Strong programming skills, proficiency in SQL and Python required.
- Experience in analysing complex data sets and research experience with alternative data is a plus.
- Industry experience in fundamental analysis preferred.
- Minimum 2 years of experience in a buy-side firm.
- Experience with healthcare or energy data sectors preferred.
Pre-Application:
- Please do not apply if you are looking for a contract or remote work.
- You must be eligible to live and work in the UK, without requiring sponsorship.
- Please ensure you meet the required experience section prior to applying.
- Allow 1-5 working days for a response to any job enquiry.
- Your application is subject to our privacy policy, found here: Privacy Policy.
Contact Detail:
Thurn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Sector Data Analyst, London
✨Tip Number 1
Familiarise yourself with the latest trends in equity research and data analysis. Understanding the current market dynamics and how they affect investment strategies will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the investment management sector, especially those who work in data analysis or equity research. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Brush up on your SQL and Python skills by working on real-world projects or contributing to open-source initiatives. Demonstrating your technical proficiency through practical examples can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific datasets you've worked with and how you've used them to drive insights. Being able to articulate your experience with alternative data and its relevance to equity analysis will showcase your expertise.
We think you need these skills to ace Equity Sector Data Analyst, London
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Equity Sector Data Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Skills: Emphasise your programming skills, particularly in SQL and Python, as well as your experience with data analysis. Provide specific examples of how you've used these skills in previous roles, especially in a buy-side firm.
Showcase Your Experience: If you have experience in fundamental analysis or working with healthcare or energy data sectors, make sure to include this in your CV and cover letter. Detail any relevant projects or studies you've conducted that demonstrate your analytical capabilities.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention your interest in driving innovation in equities strategies and how you can contribute to their data-driven approach.
How to prepare for a job interview at Thurn Partners
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis in previous roles. Highlight your experience with SQL and Python, and be ready to explain complex datasets you've worked with, especially in the healthcare or energy sectors.
✨Understand the Company’s Approach
Familiarise yourself with the firm's investment strategies and how they leverage data. Be prepared to discuss how you can contribute to their data-driven culture and collaborate effectively with PMs and traders.
✨Prepare for Technical Questions
Expect technical questions related to programming and data analysis. Brush up on your SQL and Python skills, and be ready to solve problems or analyse datasets during the interview to demonstrate your proficiency.
✨Demonstrate Collaboration Skills
Since the role involves working across teams, prepare examples that showcase your ability to collaborate and communicate effectively. Discuss any past experiences where you exchanged feedback or developed custom tools with colleagues.
