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For Companies At a Glance
- Tasks: Partner with investment teams to drive analytics and generate insights for equities.
- Company: Top-performing global hedge fund with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact in the finance world using data-driven insights.
- Qualifications: Proficiency in Python and SQL, with a strong analytical background.
- Other info: Join a fast-paced team and engage with senior stakeholders.
The predicted salary is between 43200 - 72000 £ per year.
A leading global hedge fund is seeking a high‑calibre Investment Data Scientist/Analyst to join its London Equities team. The role partners with a small number of Portfolio Managers and their research teams, helping to generate differentiated insights, drive advanced analytics and ML initiatives, and support the investment process across key sectors.
Responsibilities
- Partner closely with investment teams to understand their research frameworks and enhance them through data‑driven insights.
- Identify and analyse key data drivers across companies, sectors, and value chains - with particular relevance to Industrials, TMT, or Consumer.
- Work with large and often unstructured datasets to validate investment theses and uncover new signals.
- Rapidly process and interrogate data to establish relevance, materiality, and potential impact on investment decisions.
- Deliver concise, high‑quality research, translating complex analysis into clear commercial implications for senior investment stakeholders.
- Build and evolve data‑led decision‑support tools, leveraging both existing and newly‑sourced datasets.
Qualifications
- Advanced proficiency in Python (Pandas, NumPy, etc.) and SQL.
- Strong foundation in analytics, statistical modelling, and quantitative reasoning.
- Demonstrated ability to work with large, messy, or unstructured datasets.
- Excellent commercial instinct: able to articulate data findings in the context of company fundamentals, sector dynamics, and investment debates.
- Proven experience engaging senior stakeholders in fast‑paced, high‑accountability environments.
- A genuine interest in equities and public markets, with familiarity across sectors such as Industrials, TMT, or Consumer (or other sectors).
- Preferred: Experience in Investment Management, Sell-Side Research or Hedge Funds.
- Also valued: Exceptional candidates from top technology firms or elite tech‑focused consulting groups.
- Strong academic track record, ideally in Mathematics, Statistics, Data Science, or Computer Science, or a closely related quantitative discipline.
If you feel this is a strong match to your background and skillset, apply today!
Investment Data Scientist (Equities) | Top Performing Hedge Fund employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Scientist (Equities) | Top Performing Hedge Fund
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at hedge funds or in investment management. A friendly chat can lead to insider info and even job referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your Python and SQL prowess. When you get the chance to chat with potential employers, share how you've tackled real-world data challenges.
✨Tip Number 3
Stay updated on market trends! Read up on the latest in equities and sectors like Industrials, TMT, or Consumer. Being able to discuss current events will impress interviewers and show your genuine interest.
✨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 Investment Data Scientist (Equities) | Top Performing Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Investment Data Scientist. Highlight your experience with Python, SQL, and any relevant analytics projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about equities and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t shy away from sharing specific examples of how you've worked with large datasets or driven insights in previous roles. We’re keen to see your analytical prowess in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Inside Out
Before the interview, dive deep into the datasets you might be working with. Familiarise yourself with common data drivers in sectors like Industrials, TMT, or Consumer. Being able to discuss specific examples of how you've worked with large or unstructured datasets will impress your interviewers.
✨Brush Up on Your Python and SQL Skills
Make sure you're comfortable with Python libraries like Pandas and NumPy, as well as SQL queries. Practise solving problems using these tools, as you may be asked to demonstrate your technical skills during the interview. Showcasing your ability to manipulate and analyse data effectively can set you apart.
✨Articulate Your Insights Clearly
Prepare to explain complex analyses in simple terms. Think about how you can translate your findings into actionable insights for senior stakeholders. Practise summarising your past projects and their commercial implications, as this will highlight your excellent commercial instinct.
✨Engage with Current Market Trends
Stay updated on the latest trends in equities and public markets. Be ready to discuss recent developments in the sectors relevant to the role. Showing genuine interest and knowledge about the market will demonstrate your passion and commitment to the investment process.
