Damiano Brigo, chair of mathematical finance at Imperial College London, shares his thoughts on the lost causes, the present role and the future prospects of quantitative finance.

Damiano Brigo – 22/01/18

In this podcast excerpt, Ritwik Gupta and Carson Sestili describe deep learning and how it differs from machine learning.  “As you compose more and more non-linear functions together, you can represent a much wider function space than you could with just one non-linear function. That is why deep learning is different from shallow learning. Shallow learning doesn’t compose multiple things together. Deep learning does.”

Deep Learning in Depth: Deep Learning versus Machine Learning

Professor Zoro speaks with Ishan Shah about Algorithm Trading basics.  Ishan Shah is a Quant Researcher at Quantra by QuantInsti.  He also worked with Barclays in the Global Markets team & with Bank of America Merrill Lynch. He has a rich experience in financial markets spanning across various asset classes in different roles. He is an expert in Statistical Arbitrage, data analysis and modelling, and how to use statistics and machine learning to automate your trading strategies.
Professor zoro manages the Master in Financial Engineering program at Lehigh University  https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering

Algo Trading

Created by Professor Patrick Zoro The podcast aims to capture the latest trends in Data analytics, Asset Management, Blockchain, Risk Management.

Patrick Zoro is also the program manager of the Master of Financial Engineering program at Lehigh University

https://cbe.lehigh.edu/academics/graduate/master-analytical-finance

Algo Trading

The Quant / Financial Engineering Podcast

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