Data Science for FinTech

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Authors: Juraj Hric, Yiping Lin
Cited by: 0

Abstract

This chapter starts with the introduction to data literacy. We expose the reader to this skill as it applies to finance and banking profession. Then, we proceed and discuss algorithms and why we consider algorithms to be at the core of any FinTech solution. At this stage, we introduce the reader to a new programmatic concept, pseudocoding . Across the rest of the book we utilize pseudocoding sequences to talk to AI copilots and other chatbots. Lastly, we dive deeper into data governance covering important concepts such as data AI ethics, data integrity and data security.

Fields of Study & Subjects

FinTech Crowdfunding Digital Finance Digital Transformation in Financial Services Big Data Technologies and Applications

Publication details

Journal / source
Routledge eBooks
Pages
3–22
Publication date
19 January 2026
Language
EN
Document type
Book chapter