In many ways, quant finance is one of the most innovative sectors. Machine learning and other technologies have been present in this sector for years now, but it's time to consider the next steps.
How will quants achieve true artificial intelligence? How will quants implement more nuanced machine learning like neural networks and deep learning? How will quants overcome the challenges that these new technologies will inevitably pose to operations and the business?
In this eMagazine, we explore new ways of thinking about technology and its role in quant finance, investment, and more.
We hope you enjoy!
Computational intelligence: a principled approach for the era of data exploration
Quant finance's machine learning journey: are we there yet?
Thoughts on the two cultures of statistical modelling
Cryptography in the quantum age
A conversation with "Quant of the Year 2019" Marcos López de Prado
Our contributors this quarter are:
Cris Doloc, Founder and Principal, FintelligeX
Luca Lin, Partner, Domeyard
Niels Nygaard, Professor of Financial Mathematics, University of Chicago
Will Koehrsen, Data Scientist, Cortex Building Intelligence
Ananth Raghunathan, Senior Research Scientist, Google
Marcos López de Prado, CIO of True Positive Technologies, and Professor of Practice at Cornell University