Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Quantitative Researcher

Selby Jennings
London
11 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Researcher (Machine Learning)

Quantitative Researcher (Machine Learning)

Quantitative Researcher (Machine Learning) - eFinancialCareers

Machine Learning Researcher

Machine Learning Quant Engineer - Investment banking

Engineering Program Manager, Machine Learning

An established pod at a $5-20BN hedge fund in London is looking for a quant researcher with demonstrated proficiency in various machine learning techniques to contribute to alpha research and strategy development. This candidate will ideally be looking to develop into a senior quant researcher, managing their own strategies and eventually some risk.

They are running intraday macro strategies, taking a cross-asset approach. The hedge fund have a well-developed infrastructure for systematic trading and provide extensive, high-quality data with the expectation that strategies could quickly go live.

Location: London, Dubai

Key Responsibilities:

  • Research and identify new trading signals and strategies using statistical analysis and machine learning techniques.
  • Develop, test, and implement macro quantitative models aimed at generating alpha across equities, FX, and FI.
  • Collaborate closely with the PM to develop alpha signals and execute in the market.
  • Stay up-to-date with the latest developments in machine learning, quantitative finance, data science, and market trends to drive innovation.


Requirements:

  • Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Machine Learning, Statistics, Physics, Engineering, Computer Science, or a related field.
  • Demonstrated experience in Machine Learning techniques including NLP, Deep Learning, and neural pathways.
  • Strong programming skills in Python, R for algo development and data analysis.
  • Experience statistical modelling and signal generation.
  • Experience working with large datasets, databases, and time series data.

U2hhbm5vbi5QYWlnZS44OTQzOS5lZmlAc2VsYnlsb25kb24uYXBsaXRyYWsuY29t.gif

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.

Jobs

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.