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, Python codes, and case studies)
- Exposure to a global network of professionals
More information: https://www.arpm.co/quant-bootcamp/
As part of the cooperation with the organizers, students of the Econometrics and Data Analytics and Business Informatics programs, PhD candidates, and early-career researchers (up to three years after obtaining their doctoral degree) from the Faculty of Economics and Sociology are eligible to apply for one of 2–3 complimentary places. Registration fees for participation in the Quant Bootcamp are covered by the organizer.
Applications
Applications must be submitted in English and should include:
- a brief summary of the applicant’s research activities (maximum 1 page),
- cover letter (maximum 1 page),
- CV, including details of the applicant’s English language proficiency level in accordance with the Common European Framework of Reference for Languages (CEFR), supported by an appropriate certificate.
The documents should be sent to the following email addresses: ewa.feder@uni.lodz.pl and piotr.szczepocki@uni.lodz.pl by 28 June 2026 (Sunday). From among the applicants, 2–3 individuals will be selected to receive free online participation in the ARPM Quant Bootcamp program. The academic coordinators of the project are Dr. Ewa Feder-Sempach (Department of International Economics) and Dr. Piotr Szczepocki (Department of Statistical Methods).
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