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Apologies for the sound here, this interview was recorded using Skype and occasionally the quality drops.
I chat with Michael, Chief Data Scientist at Neuberger Berman, on using alternative data sets to improve insights into portfolios, deep diving into specific companies and industries and how these sets allow us to look at the world in a richer and more immediate fashion than ever before.
Nothing on this podcast is to be considered investment advice or a recommendation. No investment decision or activitiy should be undertaken without first seeking qualified and professional advice.
Proudly sponsored by: https://www.investmentmagazine.com.au/
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.