At Man AHL we mix mathematics, computer science, statistics and engineering with terabytes of data to understand and predict financial markets, with machine learning playing important roles throughout our systematic investment and trade execution systems. We are a research and technology led organisation, with over US$ 60 billion of client capital invested through a range of portfolios. Our algorithmic investment processes ultimately help many ordinary individuals saving for retirement to manage their investment risks and fulfil their long-term goals. We have a strong established machine learning (ML) team and culture, and have been undertaking ML research and applications for over a decade to strengthen Man AHL and enhance investment performance for our clients.
We are seeking highly motivated individuals – each with exceptional academic track records and well developed practical skills – to fill our summer 2023 quantitative internship program. These 12-week internships, scheduled to commence mid-June and run within the university summer vacation period, will provide successful candidates with the opportunity to work with industry experts and experience cutting-edge commercial quantitative finance research in one of the world’s leading systematic hedge funds. Successful candidates will be based at our central London HQ but may also spend time visiting our Research Laboratory in Oxford.
The successful candidates will contribute to on-going research projects in areas such as:
Automated investment strategy discovery, optimisation and control
Developing autonomous trade-execution and routing algorithms
Identifying investment opportunities using the latest natural language processing models
Isolation and extraction of predictive risk features from high frequency data
We are looking for candidates:
Undertaking a PhD/DPhil in machine learning within a STEM discipline
With practical “hands-on” experience of:
Capturing, cleaning and modelling empirical data in an applied environment
Modern techniques in machine learning, signal processing and forecasting
A passion for understanding financial markets through empirical data analysis and modelling
Excellent programming, scripting and scientific computing skills in Python and Linux
Broad expertise, pragmatism and open-mindedness
Excellent communication skills and enjoyment of collaborating to solve practical problems
About us:
Our algorithmic trading models manage over US$ 60 billion of investor capital and we have a 35-year track record of outstanding performance. Our ML group is a nimble team within a community of approximately 100 researchers and technologists. Our culture is open and transparent and we are actively engaged with the broader machine learning community.
Our Oxford lab is collocated with the Oxford-Man Institute of Quantitative Finance (https://bit.ly/36goTic) and the Machine Learning Research Group in Engineering Science, University of Oxford (https://bit.ly/2MSHDwy)
The closing date for applications is Friday 24th February 2023.
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 at www.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.
With a heritage in aiming to deliver attractive performance and tailored client solutions, Man Group is a highly active investment manager, powered by cutting edge investment technology. As a manager of millions of savers’ capital, we have a responsibility as stewards of those investments to create a better, more sustainable future for investors and society. Our quantitative expertise and data-driven culture means we believe Man Group is in a unique position to uncover the opportunities of the future.
Our five investment management businesses leverage our robust infrastructure to provide a diverse range of strategies across investment approaches, styles and asset classes.
We continuously invest in talent, technology and research as we strive to deliver the best results for our clients.
