Meriton Ibraimi holds a PhD in Economics from the University of Zurich, including a research stay at Princeton University, and a Bachelor’s and Master’s degree in Mathematics from ETH Zurich. He is currently a Managing Consultant at Geissbühler Weber & Partner AG (gwp), where he focuses on the development and implementation of AI-driven solutions for banks, particularly in risk management and regulatory compliance. Previously, he held positions at Accenture, Zürcher Kantonalbank, EY, and Horváth & Partner AG, where he advised banks, insurers, and public institutions on risk frameworks, financial strategy, and regulatory compliance. His research interests lie at the intersection of financial regulation, artificial intelligence, and risk management, with recent publications on the application of large language models to Basel III regulatory compliance. Dr. Ibraimi aims to bridge academic research and industry practice by advancing the use of AI, data-driven methodologies, and intelligent automation in banking, financial regulation, and anti-money laundering.

Marcus Wunsch is a researcher and senior lecturer in Banking & Finance at the School of Management and Law, Zurich University of Applied Sciences (ZHAW). He’s current research focuses on decentralized derivatives exchanges. He previously worked as a trader, senior researcher, and head of risk management at a managed futures fund, as well as a quantitative and risk specialist at a major Swiss bank. He holds a PhD in applied mathematics from the University of Vienna. He teaches in the Bachelor’s program in Banking & Finance.

Bledar Fazlija is a researcher and senior lecturer in financial data science at the School of Management and Law, Zurich University of Applied Sciences (ZHAW). He holds a doctoral degree in mathematics from ETH Zurich, as well as a Bachelor’s and Master’s degree (with distinction) from ETH Zurich. His research spans various topics in data science, with a focus on generative and agentic AI for finance and education. He teaches machine learning and deep learning in the Master’s program in Banking & Finance. Currently, he is setting up a new Master’s program major that focuses on generative and agentic AI for finance.

Sanja Hukovic holds Ph.D. in Mathematics from Brown University and an MBA from University of Rochester's Simon School of Business. Her thesis was in Harmonic analysis. Sanja was an Assistant Professor at the Department of Mathematics at the University of Massachusetts-Amherst from 1999-2002.From 2003-2015 Sanja worked for UBS Quantitative Risk Control; first in mortgages model valuation, and then as Head of Equities, FXMM and Client Portfolio teams. In 2015, she joined JP Morgan’s’ Model Governance Group where she lead QA team. Sanja is presently Head of AI and Model Risk Management at LSEG.