Glen High

Quantitative Analyst Ostrum Asset Management

Glen High is a Quantitative Analyst at Ostrum Asset Management, where he is in charge of statistical modeling research. He is also currently Head of Asset Management at Vinci Investments, where he leads a team of 30 analysts and manages technical student projects. 

Prior to this, Glen has been part of the innovation at Braincities Lab as an AI engineer, as well as being in charge of finding new investment strategies for a hedge fund at ESILV.

He holds an MEng gained at ESILV, and a Masters in Financial Engineering from Dauphine Paris University.

Conference Day Two: 17 September 2019

Tuesday, September 17th, 2019

1:35 PM Data, a new asset to your portfolio

Session preview:
In our fully connected world, never has access to information been that easy. This statement remains relevant when it comes to your personal information. By surfing on the web, one can guess your centers of interests, your habits, your age, your wealth, your location. Allowing unknown intermediaries to waylay your personal data is a threat to your security, but also a financial robbery. Indeed, you spent energy and effort to generate data that will be stolen then sold on opaque markets.

To oppose against both issues, one of the best ideas is to enforce law by giving to data originators total data ownership. In order to make of this paradigm a reality, governments would first have to provide blockchain-secured personal data portfolios to citizens. These incorruptible folders holding personal information would be stored in publicly held data hubs. Could be found in a portfolio medical data, internet consumer habits, and as much as the massive expansion of connected devices will collect about you. Only you would be able to allow others access to parts of your portfolio for a given time.

Naturally, a clearer data market will appear with its set of features. Data pricing, hedging and trading all are examples of new topics to be dealt with in a close future. Who will be the architects of such a utopia? Will the gap between data originators and data consumers truly be bridged? To whom will this tech really be in favor of? Such a dense project leaves many questions with vague answers that we can try to enlighten together.

Check out the incredible speaker line-up to see who will be joining Glen.

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