Rahul Singhal Email

Quant Research . Man AHL

Current Roles

Employees:
433
Revenue:
$122.9M
About
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 110 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 $25.1bn at 30 September 2018. Further information can be found at www.man.com/ahl. ************************************************************ Man AHL is a member of the Man Group plc (Man) group of companies. The content published here by Man and its subsidiaries is designed for investment professionals only. Opinions expressed are those of the author and may not be shared by all personnel of Man. These opinions are subject to change without notice, are for information purposes only and do not constitute an offer or invitation to make an investment in any financial instrument or in any product to which any member of Man's group of companies provides investment advisory or any other services.
Man AHL Address
Riverbank House
London, null
UK
Man AHL Email

#1 Startup Dataset

Growth rates, revenue data, direct competitors and contact details.