Agenda

13 Lug 2026 09:00

ARPM Quant Bootcamp

Also this year, the Department of Economics, in collaboration with Advanced Risk and Portfolio Management (ARPM), founded by Attilio Meucci, offers the ARPM Quant Bootcamp - a 6-day intensive program at the intersection of machine learning and quantitative finance.

In a space often driven by ML/AI hype, ARPM has spent nearly two decades building a unified mathematical framework that connects machine learning with finance.

The Quant Bootcamp, well established in quant circles, takes participants from ML foundations to real-world applications in financial engineering, risk management, and portfolio construction. With 19 editions, 5,000+ graduates, and participants from 20+ countries, it brings together students, researchers, and practitioners from leading institutions worldwide.

Delivered at New York University and via live streaming, and led by Dr. Attilio Meucci, the programme combines theory, hands-on work, and guest lectures from world-renowned practitioners.

Participants gain:

  • A clear understanding of how machine learning is applied in quantitative finance
  • A balance of theoretical foundations and practical implementation
  • Access to the ARPM Lab ecosystem (interactive theory, code, and case studies)
  • Exposure to a global network of professionals

The initiative is open to students enrolled in the Master’s Degree programmes in Data Analytics for Business and Society, Economia e Finanza, Economics, Finance and Sustainability, and Global Development and Entrepreneurship. The registration fees for the Quant Bootcamp are covered by the Department of Economics.

For further information on the programme, please visit www.arpm.co/quant-bootcamp or contact information@arpm.co.

Scientific coordinator of the project: Prof. Monica Billio.

Organizzatore

Dipartimento di Economia

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