Advanced Risk and Portfolio Management (ARPM) is an education company founded by Attilio Meucci. In collaboration with TorVergata, ARPM offers the ARPM Lab and the ARPM Bootcamp.

ARPM Lab

• The ARPM Lab: A multi-channel repository of study materials, including theory, case studies, code, animations, slides, proofs, and exercises, all accessible online without installation.

ARPM Quant Bootcamp

• The ARPM Quant Bootcamp: An intensive 4+2-day program providing an in-depth overview of advanced data science and quantitative finance, featuring a comprehensive curriculum and world-renowned guest speakers.

This partnership enables Tor Vergata students to access graduate-level training and engage with the global financial community, particularly in New York. Furthermore, it supports Tor Vergata's mission to deliver cutting-edge education in quantitative finance.

MSc Finance and Banking provides students with the following opportunities:

- The elective course Advanced Topics in Finance and Insurance

- A prize for the best performing first-year students who are evaluated based on their GPA and the total number of credits achieved by the end of the first-year exams. Two winners have the opportunity to participate free of charge in the ARPM Quant Bootcamp that takes place each year in New York (registration, as well as partial travel expenses, are covered by MSc Finance and Banking).

- All other regularly enrolled students who wish to participate in the ARPM Quant Bootcamp may participate free of charge either onsite or online (MSc Finance and Banking covers the registration fee only).

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 program 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