Guillaume is the Chief Executive Officer and Co-Founder of Walnut Algorithms, a technology company applying the latest advances in data science and machine learning research to systematic investment strategies.

Guillaume was previously a Senior Analyst with Keyhaven Capital Partners, a London-based private equity investment firm, where he worked on the sourcing and analysis of European small cap investment opportunities. Previously, he worked in management consulting with SECOR (now KPMG-SECOR) in Montreal, advising large Canadian corporations in strategic matters, ranging from product portfolio to divestment decisions.
Guillaume received a Master’s degree in Computer Science from Imperial College London and a Master’s degree in Accounting and Finance from the London School of Economics. His graduated from a BBA in Finance from the HEC Montreal Business School.

The Application of AI to Quantitative Systematic Strategies, Opportunities and Risks
♦ How machine learning fits into systematic strategies
♦ What are the pros and cons of using machine learning in quant finance
♦ Building an infrastructure that enables machine learning research within the company
♦ Debunking the myth of superintelligence in finance

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