Praise for DEEP LEARNING IN BANKING " Deep Learning in Banking stands apart by not just presenting the models; the authors provide the critical framework for building trust in them. The authors cover diverse topics, covering CNN, GNN, Transformers and LLM, simultaneously tackling regulation, fairness and explainability. The book is not just an essential read for anyone serious about managing the next generation of risk and building truly intelligent financial systems but also should be a standard graduate textbook for a modern-day curriculum on AI in finance and financial engineering." --DHAGASH MEHTA, Head of Applied Artificial Intelligence Research for Investment Management, Blackrock; Editorial Board Member at the Journal of Financial Data Science "An essential resource for fintech innovators and banking leaders, this book underscores the importance of deep learning in financial technology, offering tangible implementation frameworks and crucial regulatory details from respected authorities." --PAUL EDWARDS, Director of Risk, Wealthsimple "A comprehensive and timely guide that bridges advanced machine-learning methods with the realities of banking practice. Written by internationally recognised experts in data science, it combines technical rigour, regulatory insight, and practical case studies. This book offers a rare one-stop resource for deploying deep learning responsibly in financial services. Essential reading for data scientists, risk professionals, and academics shaping the future of AI in banking.

And an excellent textbook for students preparing to enter the field." --PROFESSOR GALINA ANDREEVA, Director of the Credit Research Centre, University of Edinburgh Business School "If you're serious about staying ahead in financial risk and innovation, Deep Learning in Banking deserves a permanent place on your shelf--and in your strategic thinking." --MATT FABIAN, Director, Financial Services Research and Consulting, TransUnion.