Investment Data Scientist (Equities) | Top Performing Hedge Fund
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.
Required Skills & Experience
- 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!
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
Yes, we help with resume and interview preparation. From customized support on how to optimize your resume to interview preparation and compensation negotiations, we advocate for you throughout your next career move.