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Dipartimento di Metodi e Modelli
per l'Economia, il Territorio e la Finanza – MEMOTEF
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Dipartimento di Metodi e Modelli per l'Economia, il Territorio e la Finanza – MEMOTEF

ARPM of New York

The MEMOTEF Department has entered into an agreement with ARPM – Advanced Risk and Portfolio Management (New York) with the aim of enhancing the computational skills of students enrolled in the Master's Degree in Finance and Insurance and the PhD in Models for Economics, Territory and Finance.

Thanks to this agreement, you can participate in the Quant-Bootcamp
👉https://www.arpm.co/quant-bootcamp

and related activities.

The Quant-Bootcamp is a course that provides a comprehensive overview of the most advanced Data Science and Machine Learning techniques and their applications in Quantative Finance. The program includes:

  • basic theoretical and applied lessons;
  • access to the online laboratory ARPM Lab;
  • lectures by internationally renowned speakers;
  • Networking opportunities with industry leaders and participants from the international professional and academic world.

The Quant Bootcamp is free for students of the Master of Science in Finance and Insurance and the Doctorate in Models for Economics, Territory, and Finance. The course can be followed:

  • in live-streaming mode, or
  • in person at New York University, an option reserved for a select group of students.

Furthermore, each year, scholarships are offered to deserving students in the Master of Science in Finance and Insurance, who will have the opportunity to participate onsite in New York.

The project coordinator is Prof. Claudia Ceci
📧claudia.ceci@uniroma1.it

Interested parties can register for the following Google Classroom to access informational materials and announcements:
👉https://classroom.google.com/c/MjEyODAwMTMzMzda?hl=it&cjc=77asjrm

 

IMG_Quant-Bootcamp
  
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
 
 
IMG_Quant-Bootcamp