The Curious Quant

By Qurious Analytics

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.

  1. 1.
    EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think.
  2. 2.
    EP19: Igor Halperin: On the application of reinforcement learning in Finance
  3. 3.
    COVID Popup Podcast: Curious Quant and Nick Wade discuss if risk models have something to say about pandemic risk.
  4. 4.
    EP18: Matt Kuperholtz: On Ethics and AI and old ATARI computers
  5. 5.
    EP17: Saeed Amed: The New Age of (data and research) in FX and Macro
  6. 6.
    EP16: Christina Qi: High Frequency Trading - Then and Now
  7. 7.
    EP15: Asif Noor: Opening up on data and financial fragility
  8. 8.
    EP14: Alex Antic: Data science across finance, academia and government

Listen to The Curious Quant now.

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