Скачать или смотреть Natural Language Processing in Banking | NLP Transformation in Global Finance

In this FinTech Study Podcast episode, we examine how Natural Language Processing (NLP) is transforming global banking and financial services. This lesson is designed for finance and business degree students, MBA learners, and professionals studying FinTech, artificial intelligence, data analytics, and financial regulation.

The episode explains how NLP enables financial institutions to analyse and interpret unstructured data such as customer conversations, transaction descriptions, contracts, regulatory filings and internal communications. We explore adoption trends in the United States, where NLP is widely used in customer service automation, fraud monitoring and sentiment analysis, and in the United Kingdom, where NLP deployment is shaped by regulatory expectations around explainability, fairness and consumer protection.

The lesson then expands to a global perspective, examining multilingual NLP applications in international banking, compliance-focused NLP systems in highly regulated markets, and efficiency-driven NLP use in large financial institutions managing vast volumes of data. These examples demonstrate how NLP adoption varies depending on regulatory frameworks, language diversity and institutional risk appetite.

Key benefits discussed include improved customer experience, faster regulatory compliance, enhanced fraud detection and operational efficiency. The episode also critically examines risks such as model bias, context misinterpretation, data privacy concerns and governance challenges. NLP is positioned as a decision-support technology rather than a replacement for human judgment.

This episode provides a balanced and academically grounded understanding of NLP in finance and is particularly relevant for learners seeking to understand AI-driven banking systems, RegTech applications, data governance and the future of intelligent financial services.