Do you know what drives successful hedge funds, or the methodologies used to model trading strategies for different types of financial markets? How do these skills impact your success in algorithmic trading? These questions are answered in the University of Oxford Algorithmic Trading Programme, presented in collaboration with GetSmarter.
The Oxford Algorithmic Trading Programme is presented by academic faculty and guest experts with a proven track record in the industry, and covers many key areas of algorithmic trading. The impact algorithmic trading has had on investment banking and money management is also explored. After completing the Oxford Algorithmic Trading Programme, you’ll walk away with a firm grounding in behavioural finance theory, systematic trading, and evaluation criteria for systematic models and funds, among other skills.
Meet your guest experts on the Oxford Algorithmic Trading Programme
The guest experts who’ll be guiding you through the Oxford Algorithmic Trading Programme are all accomplished professionals and authorities in their respective industries.
Matthew Sargaison is Co-chief Executive Officer of Man AHL, with focus on developing the funds and investment business. He is also a member of the Man Executive Committee. He has served AHL as their Chief Investment Officer, with overall responsibility for investment management and research from 2012 to 2017, as well as Chief Risk Officer between 2009 and 2012.
Prior to this, Matthew spent 13 years working at different companies, including Deutsche Bank, Barclays Capital, and UBS. Matthew originally worked for AHL from 1992 to 1995 as a Trading System Researcher and Institutional Product Designer. Matthew gained his BA/MA in Mathematics from the University of Cambridge in 1991 and a Masters in Advanced Computer Science from the University of Sheffield in 2004.
Co-founder of Aspect Capital
Martin Lueck is a passionate advocate for managed futures/commodity trading adviser (CTA) hedge funds. At the heart of his enthusiasm, is a conviction that it’s possible to offer investors a better way to identify and capture trends and ignore market noise.
Giovanni believes a true culture of innovation begins with the customer experience. As a lover of technology and finance, Giovanni co-founded MoneyFarm with the goal of finding the best solutions to protect and increase an individual’s wealth over time. Prior to MoneyFarm, Giovanni worked in the Global Market Division at Deutsche Bank AG. Giovanni graduated from Bocconi University with a degree in finance and has an MSc in Mathematical Trading and Finance from Cass Business School.
Susi Gorbey is the Director of Quantitative Strategies Oversight at Tudor Capital. The Tudor Group of companies is a group of affiliated entities engaged in the management of client and proprietary assets. The Tudor Group manages assets across fixed income, currency, equity, and commodity asset classes and related derivative instruments in the global markets for an international clientele.
The investment strategies of the Tudor Group include, among others, discretionary global macro, quantitative global macro (managed futures), quantitative equity systems, discretionary equity long/short, and growth equity.
Daryl Cook joined Tudor in July 1993 and is based in the London office. He’s a member of Tudor’s Systems Trading Group’s Portfolio Advisory Group and has over 20 years experience developing and implementing systematic trading models. Prior to joining Tudor in July 1993, he was employed by Reuters where he helped develop their IDN infrastructure and Scicon Ltd. Daryl holds a B.Sc. in Mathematics from Bristol University.
CEO and Co-founder of Cantab Capital Partners
Dr Ewan Kirk is Chief Investment Officer of Cantab. He co-founded Cantab Capital Partners in 2006, which became part of GAM Systematic in October 2016. His daily focus is research and development, risk management, and managing the Cantab quantitative team. Ewan ran the 120-strong Goldman Sachs Strategies Group in Europe, where he was responsible for all of Goldman Sachs’ quantitative technology. Ewan holds a PhD in Mathematics (General Relativity) from the University of Southampton, a Certificate in Advanced Study in Applied Mathematics from the University of Cambridge, and a degree in Natural Philosophy and Astronomy from the University of Glasgow.
Stefan is a permanent faculty member at the Machine Learning Group and the Oxford-Man Institute for Quantitative Finance (OMI). His research interests include machine learning applied to market microstructure, and high-frequency trading, statistical physics approaches to machine learning,optimisation, and quantum computing. Before joining the OMI, Stefan worked on equities market making as a Quant Researcher/Trader at two leading HFT firms in London.
Stefan coordinated the Quantum Optimisation and Machine Learning project, a joined research project of Oxford University, Nokia Technologies, and Lockheed Martin. Stefan’s background is in theoretical physics, probability theory, and statistics.
Dr Anthony Ledford is Man AHL’s Chief Scientist and Academic Liaison. Anthony is based in the Man Research Laboratory and is responsible for AHL’s strategic research. He lectured in Statistics at the University of Surrey. Dr Ledford read Mathematics at Cambridge University, holds a PhD from Lancaster University in the development and application of multivariate extreme value methods, and is a winner of the Royal Statistical Society’s Research Prize.
Steve Roberts is the Director of the Oxford-Man Institute and Professor of Information Engineering at the University of Oxford. He studied physics, completed a PhD in Signal Processing and was appointed to the faculty at Imperial College London, before taking up his post in Oxford in 1999.
Steve heads the Pattern Analysis and Machine Learning Research Group in the Department of Engineering Science at Oxford. His main area of research lies in machine learning approaches to data analysis. He is interested in the development of machine learning theory for problems in time series analysis and decision theory.
Hans-Jörg von Mettenheim is a full professor at IPAG, Secretary-General of the Forecasting Financial Markets Association (FFMA), and Deputy Editor-in-Chief of the Journal of Forecasting
After graduating with a Maths degree from MIT in 1994, Terri Duhon joined JP Morgan and spent 10 years working as a Derivative Trader. In 2004 she became an entrepreneur and in 2016 sold her main business to a partner in New York. She has been on the boards of CHAPS Co, Operation Smile, and American Overseas School in Rome, and was a founding member of the Women’s Leadership Group for the Prince’s Trust. She’s the Author of How the Trading Floor Really Works.
She’s currently a Public Speaker and Lecturer at the Saïd Business School Oxford University, on the MIT Corporation Visiting Committee, and the board of Morgan Stanley International as a Non-executive Director where she chairs the Risk Committee.
Why study algorithmic trading with Oxford Saïd
You have the opportunity to learn from industry experts who are in the thick of the rapidly changing and exciting world of algorithmic trading. Why only rely on theory, when you can have access to the movers and shakers of one of the world’s most exciting industries?
Understand the state, and the future, of the investment industry.