Every financial company is, by law, a part-time police force. Banks, payment firms, brokers, insurers, crypto exchanges and money transmitters must know who their customers are, watch what they do, report what looks suspicious and refuse to deal with sanctioned people and countries. When they fail, the penalties are among the largest in corporate life: BNP Paribas paid ~$8.9 billion for sanctions violations in 2014, Binance ~$4.3 billion in 2023, and TD Bank ~$3.1 billion in 2024 together with a guilty plea and a cap on the size of its US balance sheet. At the same time, financial firms are the main victims of fraud and the main channel through which fraud reaches consumers: Americans reported a record ~$15.9 billion of fraud losses to the FTC in 2025, and that is a fraction of the true figure. And some of the largest frauds in history were committed by financial firms themselves: Madoff's Ponzi scheme, Wirecard's invented cash, Wells Fargo's millions of unauthorised accounts. This section is centred on the US system. It explains the legal architecture of US anti-money-laundering (AML) and sanctions law (with brief comparisons abroad), how laundering and fraud actually work, what a compliance programme contains and costs, how enforcement is sized and what it does to a business, why fintechs and crypto firms keep getting caught, the 2025–26 shift in US enforcement, and how an experienced compliance leader thinks. A worked example computes the cost of an AML programme for a stylized US neobank, what happens when growth outruns compliance, what scam reimbursement would cost a US bank and the full cost of an enforcement action; a case-study file tells six cases in depth.
What the study covers
- 1Overview: why financial crime is a business problem
- 2The legal architecture
- 3How money laundering works
- 4The compliance programme: what it contains and what it costs
- 5Sanctions
- 6Fraud: the typologies and the economics
- 7When the firm is the fraud: misconduct inside financial companies
- 8Fintech, BaaS and crypto: why fast-growing firms keep getting caught
- 9Enforcement: how penalties are sized and what they do
- 10Technology: from rules to models
- 11Key numbers
- 12Landmark companies and cases
- 13Pitfalls
- 14How an expert thinks about it
- 15Glossary
Technical exhibits
Worked examples, checklists and case studies included with this study.
Aml Programme Fraud and Enforcement Cost Worked Example
A stylized 2-million-customer neobank: KYC and transaction-monitoring staffing and cost per customer, alert-threshold sensitivity, a growth shock that creates an alert backlog, US scam-reimbursement scenarios (Regulation E, Zelle-style imposter coverage, a UK-style 50:50 split), and the present value of a TD-style penalty, monitorship and asset cap (computed in Python)
Financial Crime Case Studies
Six cases: Madoff, Wells Fargo's fake accounts, Western Union's agents, Danske Bank's US resolution, Binance and TD Bank