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Listen "7. From Random Walks to Random Forests: Analytics and data science on Wall Street"
Episode Synopsis
One of the first industries to extensively use advanced maths to do better was financial services. Ever since Fischer Black and Myron Scholes published their seminal paper on option pricing in 1973, Wall Street firms hired mathematicians and scientists by the droves, getting them to model asset prices in order to get an edge in the market. Even today, top hedge funds such as Renaissance, Citadel and Two Sigma prefer to hire scientists rather than finance professionals to manage their portfolios.
However, in the last decade or so, as Data Science and Artificial Intelligence have taken over the rest of the world, Wall Street has not maintained its leadership position in the use of maths to make money. How and why did this happen?
In order to understand this, we talk to Hari Balaji, co-founder of Romulus, an award winning unstructured data automation platform for Financial Services firms.
Prior to founding Romulus, Hari spent a decade in quant & data roles at Goldman Sachs across Hong Kong and Singapore. Hari is an alumnus of IIT Madras & IIM Ahmedabad.
Show Notes
00:03:15 - What is data science and what is artificial intelligence?
00:10:40 - What Hari’s company does
00:14:00 - Toolbox versus hammer-nail approaches
00:15:00 - This history of math in the financial services industry
00:28:45 - Wall Street is never a first mover but a great follower
00:33:30 - How Wall Street uses data science nowadays
00:41:00 - Why most innovations have happened at smaller firms
00:44:00 - Why the financial industry doesn’t behave like the Tech world
Romulus on Twitter
Romulus on LinkedIn
Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase".
The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.
You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
However, in the last decade or so, as Data Science and Artificial Intelligence have taken over the rest of the world, Wall Street has not maintained its leadership position in the use of maths to make money. How and why did this happen?
In order to understand this, we talk to Hari Balaji, co-founder of Romulus, an award winning unstructured data automation platform for Financial Services firms.
Prior to founding Romulus, Hari spent a decade in quant & data roles at Goldman Sachs across Hong Kong and Singapore. Hari is an alumnus of IIT Madras & IIM Ahmedabad.
Show Notes
00:03:15 - What is data science and what is artificial intelligence?
00:10:40 - What Hari’s company does
00:14:00 - Toolbox versus hammer-nail approaches
00:15:00 - This history of math in the financial services industry
00:28:45 - Wall Street is never a first mover but a great follower
00:33:30 - How Wall Street uses data science nowadays
00:41:00 - Why most innovations have happened at smaller firms
00:44:00 - Why the financial industry doesn’t behave like the Tech world
Romulus on Twitter
Romulus on LinkedIn
Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase".
The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India’s largest logistics companies.
You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog
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