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

Hugo Delatte

Hugo Delatte

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.

Daniel Farrell

Daniel Farrell

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

Vincent Maladière

Vincent Maladière

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.

Matteo Manzi

Matteo Manzi

Quantitative researcher and entrepreneur with numerous publications spanning academic research and applied finance. Previously co-founder of CrunchDAO, he led its work in financial machine learning partnering with ADIA Lab. He is currently CEO of Orion Finance.

Carlo Nicolini

Carlo Nicolini, PhD

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

Start with our comprehensive documentation or connect with us to discuss enterprise solutions