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For Companies At a Glance
- Tasks: Connect data with investment ideas and deliver actionable insights for strategies.
- Company: Leading global investment firm with a high-performing equities team.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make an impact by leveraging data in the fast-paced world of finance.
- Qualifications: Strong programming skills in Python and experience with large datasets.
- Other info: Collaborate with experts and present analyses to diverse stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
A leading global investment firm is seeking a Data Analyst to join a high-performing equities team. This role offers the chance to work directly with a Portfolio Manager and research analysts, while collaborating with quants and technical specialists across the wider equities platform.
About the Role
You will play a key role in connecting data with investment ideas, leveraging large volumes of alternative and fundamental data to support both fundamental and quantamental strategies. The position combines hands-on data engineering with analytical insight, requiring strong technical skills and the ability to communicate findings clearly for decision-making.
Key Responsibilities
- Partner with a Portfolio Manager and research team to deliver actionable insights that influence investment strategy.
- Design and maintain scalable data pipelines and models for high-volume, diverse datasets.
- Explore innovative approaches to extract and synthesize information from structured, unstructured, and time-series data.
- Collaborate with quants and technical team members to optimize workflows and infrastructure.
- Present complex analyses in a clear, impactful way to technical and non-technical stakeholders.
Ideal Candidate Profile
- Strong programming skills in Python (experience with Polars or similar libraries a plus).
- Proven ability to work with large datasets and apply statistical concepts to financial data.
- Experience in equities or strong interest in applying data to investment research.
- Excellent communication and collaboration skills.
- Intellectual curiosity and ability to thrive in a fast-paced environment.
If you feel this role is a good fit for you - apply today!
Data Analyst - Equities (Fundamental & Quantamental) | London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Equities (Fundamental & Quantamental) | London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in equities or data analysis. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and large datasets. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of investment strategies. Be ready to discuss how you've used data to influence decisions in past roles or projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst - Equities (Fundamental & Quantamental) | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Analyst. Highlight your programming skills in Python and any experience with large datasets, especially in equities. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in the investment sector. Share specific examples of how you've used data to influence decisions, as this will resonate with us.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve worked with data pipelines or statistical concepts, include those experiences. We love seeing how you can connect data with investment ideas, so make it clear!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data you'll be working with. Brush up on your knowledge of both fundamental and alternative datasets, and be ready to discuss how you've used them in past projects. This will show your potential employer that you can hit the ground running.
✨Show Off Your Technical Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. Consider bringing along a small project or example of your work that showcases your experience with libraries like Polars. This practical demonstration can really set you apart from other candidates.
✨Communicate Clearly and Confidently
You’ll need to present complex analyses to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the insights gained and their impact on decision-making. This will highlight your ability to bridge the gap between data and actionable investment strategies.
✨Be Curious and Engaged
Demonstrate your intellectual curiosity by asking insightful questions about the company’s current data strategies and challenges. This shows that you’re not just interested in the role, but also in contributing to the team’s success and growth within the fast-paced environment.
