National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Researcher with Machine Learning experience, Systematic Equities

Millennium Management LLC
London
5 days ago
Applications closed

Related Jobs

View all jobs

Machine Learning Researcher

Computer Vision Engineer

Graduate Recruiter - Systematic Trading Technology & Machine Learning

Quantitative Researcher (Machine Learning)

Quantitative Researcher – Machine Learning

Graduate Machine Learning Researcher

Quantitative Researcher with Machine Learning experience, Systematic Equities

Quantitative Researcher with Machine Learning experience, Systematic Equities

Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

Job Description

Quantitative Researcher, with machine learning experience, as part of a collaborative team based in London on systematic equity trading.

This collaborative, and entrepreneurial systematic investment team is seeking a strong equities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.

Location

London

Principal Responsibilities

  • Working alongside the SPM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies
  • Combine rigorous scientific methods and machine learning or statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
  • Develop and improve sophisticated python-based software tools and libraries for machine learning researches
  • Write and maintain neat, modular code on a jointly owned codebase of significant size and complexity
  • Collaborate with the SPM in a transparent environment, engaging with the whole investment process

Preferred Technical Skills

  • Strong research and programming skills in Python and experience working on sophisticated Python-based software tools and libraries in a fast changing environment
  • Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked university
  • Demonstrate excellent communication, analytical and quantitative skills

Preferred Experience

  • 2+ years of experience with cash equities strategies doing alpha research
  • 2+ years of experience in machine learning based quantitative equity alpha research, and back testing

Highly Valued Relevant Experience

  • Demonstrated ability to understand fundamental and event related data and experience with alternative data sources
  • Strong economic intuition and critical thinking
  • Product experience in statistical arbitrage strategies
  • Product experience with machine learning based alphas would be valued

Target Start Date

As soon as possible


#J-18808-Ljbffr

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.