finelybook
Deep Learning in Banking: Integrating Artificial Intelligence for Next-Generation Financial Services
Author(s): Cristian Bravo (Author), Sebastian Maldonado (Author), Maria Oskarsdottir (Author)
- Publisher finelybook 出版社: Wiley
- Publication Date 出版日期: January 15, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 336 pages
- ISBN-10: 1394295375
- ISBN-13: 9781394295371
Book Description
Unlock the potential of artificial intelligence to transform financial services for a new era
Deep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián Bravo, Sebastián Maldonado, and María Óskarsdóttir is a compelling resource that highlights the critical intersection of AI and banking. It offers actionable insights and practical solutions for leveraging deep learning in lending institutions. With increasing regulatory challenges and the need for sophisticated models, this book provides essential strategies to navigate the evolving landscape of financial services.
Structured for both academic and professional use, Deep Learning in Banking delivers a comprehensive examination of the methodological frameworks of AI applications in lending. You’ll learn to combine images, text, time series, graphs and structured data to develop multimodal deep learning and large-scale models, and how they relate to explainability and fairness, with practical examples and real-world case studies that ensure effective implementation.
Inside the book:
- Learn how to develop AI models within the modern regulatory environment.
- Explore multimodal data to develop deep learning models for financial institutions
- Discover case studies highlighting the application of advanced machine learning techniques in banking
Deep Learning in Banking is written for academics, financiers, banking professionals, and data scientists eager to revolutionize their approach to financial services. The book empowers its readers with the knowledge and tools needed to harness AI’s full potential, paving the way for innovative and compliant solutions in the banking industry.
From the Back Cover
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
About the Author
CRISTIÁN BRAVO, PHD, is a Professor and the Canada Research Chair in Banking and Insurance Analytics at the University of Western Ontario, Canada, and Director of the Banking Analytics Lab. He is a co-author of Profit Driven Business Analytics and regularly appears as a panelist on the CBC News’ Weekend Business Panel discussing banking, finance, and artificial intelligence.
SEBASTIÁN MALDONADO, PHD, is Full Professor at the Department of Management Control and Information Systems, School of Economics and Business, University of Chile. He is the author of the books Analytics and Big Data: Data Science Applied to the Business World and Artificial Intelligence Applied in Chile: Business Vision and Success Stories.
MARÍA ÓSKARSDÓTTIR, is a Lecturer (Assistant Professor) of Mathematical Modelling and Data Science at the School of Mathematical Sciences at the University of Southampton and an Associate Professor at the Department of Computer Science of Reykjavik University. She’s an Editor for Springer’s Machine Learning and an Associate Editor of the International Journal of Forecasting.
