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Our
Leadership

Dan Dehussy

CEO

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Michelle Gai

President

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Chris Kushel

CLO

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Naomi Malik

CMO

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Frank Dennis

Chairman

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Andy Jung

Advisor

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Who is
Red Beard?

A surprisingly simple diagnosis will deliver previously inconceivable value.

Red Beard Consulting was founded by Dr Stephen D. Friel, a quantitative researcher, economic consultant and a data scientist with 15 years of international experience in financial markets. His team of interdisciplinary specialists come from academic fields including, economics, mathematics, AI, machine learning, creative industries, corporate communications and finance. Their collective knowledge and connections is coupled with applied data science and cutting edge market design optimisation techniques.

Red Beard Consulting seamlessly matches organisations with novel solutions.
This is research applied.

Who is Dr Stephen D. Friel?

Steve founded Red Beard Consulting after leaving the Hong Kong hedge fund industry in 2016. His experiences across Asian capital markets pointed toward a new theory of price discovery. Steve set out to quantify how liquidity and trading outcomes in international capital markets are driven by variations in locally available technology and market design. 
 

Steve’s PhD was funded by NASDAQ and his doctoral thesis, A Market Microstructure Theory of Relativity: Towards a Theory of Everything for Financial Markets, demonstrated the feasibility of using cloud computing to generate real-time, market efficiency metrics and accurate price predictions in fragmented market environments.

Since its publication, Steve has gone on to consult for numerous listed and unlisted organisations in sectors including capital markets, credit markets, electronic trading, blockchain, tech and property.

His work has led to the development of bold new technologies and go-to-market strategies that have generated large investment return and new, ongoing revenue streams.

Vision

1

To be the technology-driven bridge between enterprise and the greatest discoveries in the world of applied research and academia.

2

Improve real world outcomes not just working models.

3

Be a driving force in the elimination of sub-optimal solution design through the application of economic engineering to deliver optimal market design for every type of market.

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