Investment Data Scientist (Analyst) | Tier 1 Hedge Fund | Equities

Selby Jennings
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist | Multi-Strat Hedge Fund | London

ESG Data Scientist

Data Scientist/Developer

Data Scientist/Developer

Collections Data Scientist

Senior Data Scientist

One of our tier 1 hedge fund clients are looking to add a Specialist Data Scientist/Analyst to the London office as part of their Equities Fund. You will be working alongside the investment and research teams to generate new insights, drive ML and advanced analytics, and work with the research team towards generating sustained alpha. Directly aligned to 1-2 PMs.


Responsibilities:

  • Coordinate with investment teams to comprehend their investment methodologies and leverage data to augment their research processes.
  • Support investment teams in identifying key data drivers impacting companies and sectors.
  • Analyze data from various sources to validate complex investment hypotheses.
  • Efficiently process data, identify critical points, and assess data relevance to investment inquiries.
  • Deliver high-caliber research to investment teams in a clear and concise manner.
  • Utilize existing and new datasets to develop significant insights and decision support tools for investment teams.


Required Skills:

  • Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL
  • Strong background in advanced analytics and statistical modelling
  • Strong analytical and quantitative skills
  • Experience working with large, unstructured data sets
  • Prior experience in the investment management industry, withgood knowledge on equities
  • Experience with Bloomberg or similar platforms


If you feel this is a good match - apply today!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.