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

Apply Now

Quantitative Researcher - Equities

Man Group plc
London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Data Scientist - Sustainability

Business Data Analyst

Assistant Coastal Data Scientist

Head of data engineering - remote

The Team

The Specialist Equities team is responsible for high-capacity strategies with medium-to-high Sharpe. Our academic backgrounds span Mathematics, Machine Learning, and Computer Science. The team has been running for several years and look after a large and successful set of signals across regions and trading frequencies. We are now diversifying our signal set to capture new sources of alpha. Your role would be to drive and deliver on your own research agenda. It will be fully focused on new alpha research.

Ideal Candidate

  • Researched and traded live at least two innovative and creative alpha signals with holding period days to weeks
  • Independent, self-organised, can effectively manage time in a high-velocity environment
  • A go-getter with outstanding analytical skills and a hands-on attitude
  • Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university
  • A deep understanding of statistics and an ability to apply to real world problems
  • Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading

Working Here

AHL fosters a performance driven, meritocratic culture with a small company, no-attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader research and academic community, as well as renowned industry contributors.

We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.

  • We have annual away days and research off-sites for the whole team
  • We have a canteen onsite offering nutritious and well-balanced food selection catering to varying dietary requirements
  • As well as PCs and Macs in our office, you'll also find numerous amenities such as a Wellness room featuring Peloton bikes, a music room with notably a piano and guitar and a Maker space with light cubes and 3D printer
  • We host and sponsor London's PyData and Machine Learning Meetups
  • Man Group has proudly partnered with King's College London Mathematics School for many years, which offers employees the opportunity to supervise a group of students on a scientific research project or internship
  • We open-source some of our technology. Seehttps://github.com/man-group
  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. See @manquanttech and @ManGroup

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

About Man AHL

Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non-traditional momentum, multi-strategy and sector-based approaches. Man AHL's strategies are primarily alternative and seek to gain potential predictive, alpha-generating insights through rigorous analysis of large data sets.

Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data in order to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 47 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets.

The engine leverages Man Group's unique collaboration with the University of Oxford, the Oxford-Man Institute of Quantitative Finance (OMI). The OMI conducts field-leading academic research into machine learning and data analytics, which can be applied to quantitative investing.

Founded in 1987, Man AHL's funds under management were $60.6 billion at 30 September 2022 . Further information can be found atwww.man.com/ahl.

Work-Life Balance and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry.https://www.man.com/diversity. Man Group is also a Signatory of the Women in Finance Charter.

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.

We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.