

The Curious Quant
The Curious Quant series, hosted by Dr Michael Kollo, is a very discussion that explores the role of data, AI and humanity within investing in financial markets. It examines the application of new data and new methodologies has been deployed and considered over the years, including Generative AI. 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.
Episodes


Conversations with a SuperIntelligence - "What is your nature?"
Generative AI: applications in the Quant Investment Process
This podcast episode explores the potential applications of generative AI in the quantitative investment process. It specifically focuses on the use of generative AI in natural language processing to analyze text data and establish sentiments. The episode delves into how generative AI can be used in topic delineation, ...
EP22: Professor Stuart Russell. The future of Humanity and AI.
This podcast episode, hosted by prominent AI expert Professor Stuart Russell, delves into thought-provoking discussions on various AI-related topics, including the challenges of predicting AI's potential dominance, the impact of algorithms on society, the role of causal models in decision-making, complexities of short-...
EP20: Prof Rob Hyndman: Forecasting COVID, time-series, and why causality doesnt matter as much as you think.
This podcast episode covers a wide range of topics related to forecasting, including the challenges of COVID-19 forecasting, the importance of measuring forecasting accuracy, best practices during a pandemic, choosing the right forecasting horizon, uncertainty and causality in forecasting, building trust in forecasts, ...
EP19: Igor Halperin: On the application of reinforcement learning in Finance
This podcast episode explores the transition of physics experts to finance, shares insights on risk assessment and embraces uncertainty in financial systems, delves into concepts and applications of reinforcement learning in finance and trading, discusses the impact of machine learning in financial services and the imp...
COVID Popup Podcast: Curious Quant and Nick Wade discuss if risk models have something to say about pandemic risk.
This podcast episode explores the impact of the pandemic on risk modeling and market expectations, discussing adaptive models, increased volatility, and the role of asset owners in providing liquidity. It also delves into the need for risk models to adapt to changing markets and highlights the importance of resilience ...
EP18: Matt Kuperholtz: On Ethics and AI and old ATARI computers
This podcast episode covers a wide range of topics related to AI, including its potential benefits and risks, the importance of explainability and good governance, the challenges of algorithmic bias, the role of storytelling and simplicity in data science, and the ethical implications of AI in decision-making and cyber...
EP17: Saeed Amed: The New Age of (data and research) in FX and Macro
This podcast episode examines the integration of alternative data, macroeconomics, and AI in FX forecasting and trading. It features expert insights into the challenges and opportunities in the FX market, emphasizing the role of factors like FX forecasting in investment decisions, sentiment analysis, central bank actio...
EP16: Christina Qi: High Frequency Trading - Then and Now
This podcast episode features an interview with Christina Chi, a high-frequency fund manager in Boston, discussing the world of high-frequency trading (HFT) and its interaction with artificial intelligence (AI). It emphasizes the importance of books in the workplace, the challenges faced by HFT companies, and the role ...
EP15: Asif Noor: Opening up on data and financial fragility
Asif Noor, a quant with over two decades of experience, discusses his journey, the impact of the GFC on global macro forecasting, and the role of AI in this field. He emphasizes the importance of testing hypotheses with data and using appropriate tools to do so. Other topics include risk management, macro strategies in...
EP14: Alex Antic: Data science across finance, academia and government
This podcast episode features Alex Antic, a data science expert, exploring the evolution of quantitative techniques in the financial sector, the need for explainability in data science models, and the significance of data literacy in modern decision-making processes. Takeaways • Quantitative techniques saw a rise in p...
EP13: Paul Wilmott: Juggling mathematics and small business
EP12: Vinesh Jha: The craft of mining alternative data
EP11: Campbell Harvey: Factor investing beyond the snake oil
EP10: Sean Anthonisz: Risk and the rules of finance
This podcast episode explores the intersection of academia and finance, the role of statistical analysis and machine learning in decision-making, uncertainty and probability in financial markets, and the challenges and opportunities in fostering collaboration between academia and the private sector in finance. Takeawa...
EP9: Alexander Fleiss: Humility and mean reversion
This podcast episode explores the applications of machine learning and artificial intelligence in investment decision-making, addressing challenges such as the need for dynamic weighting structures and the fallibility of investment models. It emphasizes diversification, humility, and relying on multiple data points, di...
EP8: Gideon Smith: Fundamentals and the golden age for quants
This podcast episode delves into the complexities of integrating AI and machine learning technologies into quantitative modeling, encompassing the challenges and opportunities these advancements bring. It also explores the historical development of quantitative models and emphasizes the significance of human input and ...
EP7: Anthony Tockar: Data ethics and the AI arms race
This podcast episode features Anthony Tokar, a data scientist and martial arts expert, discussing his career journey and insights into the field of data science. The episode explores the evolution of data science in Australia, the challenges and opportunities of integrating data science into businesses, the importance ...
EP6: Michael Recce: The goldilocks approach to neuroscience, AI and investing
This podcast episode discusses the future of investing, the impact of technology on industries and investment strategies, and the use of alternative data and machine learning to improve investment decisions. Experts share their insights on how data-driven investing will become more prominent, the role of fundamental in...
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