Series: Data Bites
Speaker: Daniel Philps (Head of Rothko Investment Strategies)
The investment business in 2019 is ripe for technological disruption through the application of AI, which will throw open huge opportunities for gifted, market savvy data scientists. Investment-AI also holds the key to punishing companies that wilfully pollute, have exploitative labour practises or short-change shareholders such as pension funds and charitable foundations. More broadly, applying AI to financial markets represents a massive intellectual and practical challenge. The markets are a representation of all global economic, geopolitical, commercial and non-commercial realities at a moment in time, perhaps the greatest expression of human consciousness imaginable.
My talk covers an introduction to the algorithm powered investment business (quant investing) and how machine learning and AI is starting to disrupt the old, established approaches. Details about data, models and results are given.
To conclude, I detail research opportunities that I hope to attract MSc students to:
- Environmental, Social and Governance based A.I. driven investing,
- Continual Learning (cutting edge research being conducted at City and due to be presented this year at NeurIPS in Vancouver in December),
- News sentiment driven investing.
Dan Philps is head of Rothko Investment Strategies and is an artificial intelligence (AI) researcher. He has over 20 years of quantitative investment experience.
Prior to Rothko, he was a senior portfolio manager at Mondrian Investment Partners. Before 1998, Philps worked as an analyst/programmer at a number of investment banks, specializing in trading and risk models.
He has a BSc (Hons) from King’s College London, is a CFA charterholder, a member of CFA Society of the UK, is completing a PhD in AI at City, University of London and is a member of the AAAI.
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When and where
6.00pm - 7.00pmThursday 21st November 2019