AI in Finance: Quo Vadis?

Summary

The global financial sector is undergoing a period of significant change and disruption. Advances in technology are enabling businesses to fundamentally rethink the way in which they generate value and interact with their environment. In this era of digital transformation, AI has the potential to fundamentally change business models of financial service providers and further accelerate the pace of innovation. Yet, despite the significant progress, many challenges remain that will require further scientific breakthrough.

Specific topics covered:

• Importance of data and the need for augmented data
• Applications in finance: data mining, feature extraction/engineering, feature importance, climate change and climate risk finance, quantitative/computational finance, asset/wealth management, private equity, pre/post-M&A, fraud detection, real estate and real estate related portfolios, credit scoring, etc.
• Explainable & interpretable ML
• Differential privacy and AI
• Where are we heading?

Presenters

Prof. Dr. Ali Hirsa, Professor and Director of Financial Engineering, Columbia University in the City of NY
Dr. Branka Hadj Misheva, Scientific Employee at ZHAW Zurich University of Applied Sciences
Prof. Dr. Jörg Osterrieder, Professor of Finance and Risk Modelling at ZHAW School of Engineering
moderated by Karlo Novak, EY and chaired by Sandro Schmid Partner at LPA and board member Swiss Risk Association

Chapter event

In our chapter events – access for members only – we present one or more speakers to share knowledge, updates and best practises on a specific risk topic. In small groups of risk professionals you can exchange thoughts and test ideas. More on SRA chapters. This event is hosted by the chapter Digital Age – FinTech, AI and Cyber Risk.