Open Infrastructure for Portfolio Optimization
Skfolio Labs is the team behind skfolio, the open source framework for portfolio optimization and risk management
The Team
Skfolio Labs combines the expertise that created the skfolio library with experience building and running institutional trading and risk platforms. We are supported by advisors and key contributors from the quant community.
Founding Team

Co-Founder
Author of skfolio with a background in QIS, fund derivatives and structured products. He brings experience from established financial institutions, including Société Générale, where he developed systematic strategies, QIS platforms and trading pipelines. His work bridges open source development with institutional practices in portfolio optimization and risk management.

Co-Founder
Experienced in building and managing trading desks at investment banks and specialist structured-product issuers. He has led QIS, fund derivatives and AMC trading teams, overseeing the design of systematic strategies and risk platforms, with direct implementation in institutional trading environments.
Core Developers & Advisors

Research engineer with a focus on machine learning and applied mathematics. He is active in open source development (scikit-learn, skrub, hazardous), co-founded Probabl and is currently developing LLMs at Mistral AI, advancing applied methods within the data science and AI industry.

Statistical physicist with publications in leading journals across computational neuroscience and quantitative finance including ICAIF, Phys. Rev. E, NeuroImage and COLM. Reviewer for ICAIF, Entropy and Nature Communications. His research on networks and fMRI analysis has evolved into work on high-dimensional correlation and risk modeling, now applied to portfolio optimization and AI.
From Exploration to Enterprise
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