I chat with Jim, the former CIO of Barclays Global Investors on the history of quantitative investment, the myths of factor investing, and how machine learning can help solve difficult problems in financial markets. We touch on the future of AI and its use in the broader society – where are the opportunities and where are the potential threats?
Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice
What is The Curious Quant?
The Curious Quant series, hosted by Michael Kollo, is a discussion between technically-minded professionals in the financial services, technology and data science fields. It examines the application of new data and new methodologies to common problems in financial markets.
Michael Kollo has a PhD in Finance is from the London School of Economics where he lectured in quantitative finance in addition to Imperial College and at the University of New South Wales. He has created models and led quantitative research teams at Blackrock, Fidelity and Axa Rosenberg in the UK before more recently moving to Australia where he established the quantitative team for the $50 billion industry superannuation fund, HESTA.
The aim is to promote better discussions about these emerging areas, and a better understanding of new technologies for practitioners and academics alike.
Consider it a sort of scientific, quantitative banter, at its finest. But don’t worry, no equations, I promise, unless you are into that kind of thing.
Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activity should be undertaken without first seeking qualified and professional advice.