Preface: Why RegTech Matters Now

In 2012, a major global bank paid $1.9 billion to settle allegations that it had laundered hundreds of millions of dollars for drug cartels and violated US sanctions against Iran, Cuba, and other countries. The failure was not, at its core, a failure of intention. It was a failure of system — of the capacity to monitor, detect, and act across the staggering complexity of a global financial institution processing millions of transactions per day.

By the time that settlement was announced, the field we now call RegTech was already forming in the spaces between bank compliance departments, technology startups, and regulatory agencies. Compliance professionals, exhausted by the manual labor of meeting ever-expanding obligations, were looking for a better way. Technologists, newly armed with machine learning tools and cloud computing, were asking what problems remained unsolved. And regulators, shaken by the crisis, were demanding more and better data than human processes could reliably produce.

This book is about what happened next.

The Shape of the Problem

Financial regulation has always been complex. The post-2008 wave of legislation — Dodd-Frank in the United States, EMIR and MiFID II in Europe, the Basel III capital reforms globally, and a cascade of AML directives that followed the revelations of the FinCEN Files — turned complexity into something approaching unmanageability. By one industry estimate, a major financial institution now faces over 300 significant regulatory changes per day. The cost of compliance for the global financial industry runs into the hundreds of billions annually. For many firms, compliance is no longer a support function — it is one of their largest operating expenses.

Meanwhile, the sophistication of financial crime has not stood still. Money laundering schemes exploit the same digital infrastructure that legitimate finance depends on. Fraudsters deploy artificial intelligence to defeat the systems designed to catch them. Sanctions evasion has become a technological arms race.

The answer — the only plausible answer — is technology. Not technology as a replacement for human judgment, but technology as the mechanism by which human judgment can be applied at the scale and speed that modern finance demands.

What This Book Is

This is not a technology book that occasionally mentions compliance. It is a compliance book built on technology. The central questions it asks are always regulatory and organizational: What does the law require? What risk does the institution face? How should the compliance function respond? Technology is the means, not the end.

At the same time, this book does not treat technology as a black box. Compliance professionals who cannot understand what a machine learning model is doing, or why an NLP system produces the results it does, are not in a position to govern those systems effectively. This book provides enough technical depth to build genuine understanding without requiring a computer science background.

The Python code in this book is real and runnable. But you do not need to be a programmer to benefit from it. The code is here to show you, concretely, what is happening inside the systems you are responsible for evaluating, governing, and sometimes building.

The Characters

Every chapter in this book features three recurring practitioners whose challenges evolve as the book progresses:

Maya Osei is 32 years old and serves as Chief Compliance Officer at Verdant Bank, a mid-size UK challenger bank that has grown rapidly and is now navigating the full weight of FCA regulatory expectation. Maya is smart, principled, and perpetually resource-constrained. She has a law background and a healthy skepticism about technology claims she hasn't verified herself.

Rafael Torres is 45 and works as VP of Compliance Technology at Meridian Capital, a mid-size US broker-dealer that serves both institutional and retail clients. Rafael built his career in operations before moving into compliance technology, and he brings a systems thinker's orientation to every problem. He is currently leading a multi-year effort to implement MiFID II equivalence for Meridian's European business while simultaneously overhauling the firm's AML monitoring infrastructure.

Priya Nair is 28 and works as a senior associate at a Big 4 advisory firm, advising financial institutions on RegTech implementation. She graduated with a computer science degree before completing an MBA with a focus on financial regulation. Priya moves between clients and sees patterns across institutions that insiders often miss. She is perceptive, pragmatic, and occasionally impatient with the pace of change in organizations that know what they need to do but cannot quite get there.

Cornerstone Financial Group is a composite, fictionalized institution — a full-service financial services conglomerate with banking, wealth management, and broker-dealer subsidiaries across multiple jurisdictions. Cornerstone appears throughout the book as a data-driven case study, allowing us to work through complex scenarios at institutional scale without being constrained by the specifics of any single real firm.

These are not background decoration. Their challenges are the book's curriculum. By the time you finish Chapter 40, you will have watched Maya rebuild Verdant's KYC program from the ground up, followed Rafael through the technical and political complexities of building a real-time trade surveillance system, and seen Priya navigate the gap between what clients want to hear and what they actually need to know.

How the Book Is Organized

The book moves from foundations to frontiers, and from technical specifics to strategic synthesis. Part 1 establishes the regulatory and technological context. Parts 2 through 4 cover the three major operational domains of RegTech practice: identity and AML, risk and reporting, and trading compliance. Part 5 examines the emerging technologies reshaping those domains. Part 6 addresses the governance, ethical, and legal frameworks that constrain and shape what RegTech can and should do. Part 7 focuses on strategy and implementation — the practitioner skills of building, buying, and running RegTech programs. Part 8 brings it all together in a capstone chapter and three substantial applied projects.

You do not have to read this book from front to back. The table of contents offers several suggested reading paths for different professional contexts. But the book rewards sequential reading: concepts build on each other, the characters' situations develop over time, and the final chapters make more sense for having traversed the path that leads to them.

What This Book Is Not

This book is not legal advice. Regulatory requirements change, interpretations vary by jurisdiction, and the consequences of compliance failures can be severe. Always verify specific requirements against current primary sources and seek qualified legal counsel.

This book is also not a vendor guide. Where specific vendors or products are mentioned, it is for illustrative purposes only, not as an endorsement. The RegTech market changes rapidly, and any vendor mentioned may have changed significantly by the time you read this.

Finally, this book does not claim to be comprehensive in the sense of covering everything. RegTech is vast, and 40 chapters can only go so far. The goal is to give you a framework for thinking that will remain useful long after specific regulatory requirements have been updated.

A Final Word

The people building RegTech — the compliance officers, technologists, consultants, and regulators working at this intersection — are doing something genuinely important. Financial systems are the circulatory system of modern economies. Keeping them clean, stable, and honest is not a bureaucratic obligation. It is a public good.

This book is for them.

February 2026