Boubacar Sidibe

Quantitative Analyst

Boubacar Sidibe is a passionate quantitative analyst with a strong academic foundation in applied mathematics, specializing in financial mathematics and data science. His work explores how artificial intelligence and machine learning models can disrupt traditional investing strategies, providing more accurate forecasts, reducing risks, and optimizing returns. Boubacar graduated from University Paris-Saclay and ENSAE Paris.

Articles by Boubacar Sidibe

Original research

Advanced visualization for the quant strategy universe: clustering and dimensionality reduction

The authors present a novel visualisation model, based on 5000 quantitative investment strategies, which can identify nonlinear relationships and clustering strategies with similar risk factor exposures.

11 Dec 2024

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