Quantitative Researcher - Equities

About Man AHL

Man AHL is one of the world’s longest running diversified systematic investment managers, trading in over 800 markets globally and offering a range of absolute return and long-only quantitative strategies that invest across traditional and alternative markets.

With over three decades of quantitative investment experience, Man AHL is committed to constant innovation and evolution of research. It applies advanced technology and scientific rigour to every stage of the investment process, from data curation and cleaning through to signal generation, risk management and execution. It views risk management and trading and execution as central to alpha generation, and its strategies are designed to understand risk, take appropriate exposures and, where necessary, dynamically adjust exposure.

Man AHL brings together scientists, academics, technologists and finance practitioners who are driven by curiosity, intellectual honesty and a passion for solving the complex problems presented by financial markets. It works closely with the Oxford-Man Institute of Quantitative Finance (OMI), Man Group’s unique collaboration with the University of Oxford, and leverages insights from its field-leading academic research into machine learning and data analytics.

Founded in 1987, Man AHL’s funds under management were $58.5 billion at 30 June 2023. Further information can be found at www.man.com/ahl.

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. See https://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.