Nino Cutic

Nino Cutic is an experienced professional in risk models methodology and machine learning, currently serving as the Head of Risk Models Methodology and IRB Models at Nordea since February 2021, where responsibilities include the development of new IRB models and oversight of retail model remediation. Previously, Nino held the position of Deputy Head of Machine Learning and AI at KPMG Denmark, focusing on credit risk and machine learning projects. Nino's prior experience at Danske Bank encompassed roles in big data analytics and portfolio risk management, engaging in model development and risk assessment. Nino began a career in research as a Postdoctoral Researcher at Lund University after earning a Ph.D. in Engineering Physics/Applied Physics from the same institution, and Nino's early academic work includes a doctoral role at MAX-lab, contributing to advanced detector technologies.