Financial Data Engineering

Preface

With this book, you will learn fundamental concepts, common challenges, best practices, innovative frameworks, and cutting-edge technologies essential for successfully designing and building data-driven financial products and services. This book is intended to establish foundational knowledge that is accessible to individuals from diverse backgrounds, be they finance, computer science, software engineering, or academic research. It covers a wide range of carefully selected topics chosen for their market, technological, and scientific relevance. Each concept in the book is presented in straightforward language, accompanied by case studies and finance-specific examples for deeper insights. Moreover, to facilitate practical application, the final chapter presents four hands-on projects addressing various data-driven challenges related to financial markets.

To fully appreciate the story, read the chapters in order, though each chapter can also be read on its own if you prefer.

Who Should Read This Book?

This book serves a wide audience. This includes individuals working at institutions such as banks, investment firms, financial data providers, asset management companies, security exchanges, regulatory bodies, financial software vendors, and many more. It is designed for data engineers, software developers, quantitative developers, financial analysts, and machine learning practitioners who are managing and/or working with financial data and financial data-driven products. ...