The Curious Quant
A podcast by Qurious Analytics
23 Episodes
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Generative AI: applications in the Quant Investment Process
Published: 29/06/2023 -
EP22: Professor Stuart Russell. The future of Humanity and AI.
Published: 10/11/2021 -
EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think.
Published: 17/07/2020 -
EP19: Igor Halperin: On the application of reinforcement learning in Finance
Published: 16/07/2020 -
COVID Popup Podcast: Curious Quant and Nick Wade discuss if risk models have something to say about pandemic risk.
Published: 09/04/2020 -
EP18: Matt Kuperholtz: On Ethics and AI and old ATARI computers
Published: 04/04/2020 -
EP 17 : Saeed Amed: The new age of (data and research) in FX and Macro
Published: 31/03/2020 -
EP16: Christina Qi: High Frequency Trading - Then and Now.
Published: 26/03/2020 -
EP15: Asif Noor: Opening up on data and financial fragility
Published: 02/03/2020 -
EP14: Alex Antic: Data science across finance, academia and government
Published: 19/02/2020 -
EP13: Paul Wilmott: Juggling mathematics and small business
Published: 12/02/2020 -
EP12: Vinesh Jha: The craft of mining alternative data
Published: 05/02/2020 -
EP11: Campbell Harvey: Factor investing beyond the snake oil
Published: 20/01/2020 -
EP10: Sean Anthonisz: Risk and the rules of finance
Published: 27/11/2019 -
EP9: Alexander Fleiss: Humility and mean reversion
Published: 20/11/2019 -
EP8: Gideon Smith: Fundamentals and the golden age for quants
Published: 13/11/2019 -
EP7: Anthony Tockar: Data ethics and the AI arms race
Published: 03/11/2019 -
EP6: Michael Recce: The goldilocks approach to neuroscience, AI and investing
Published: 31/10/2019 -
EP5: John Fawcett: Disrupting the secretive world of quants
Published: 08/10/2019 -
EP4: Nick Wade: Driving from Beijing to Paris and stories in risk modelling
Published: 08/10/2019
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.