Step 02 / Explore the workbook
See the risks. Understand the controls.
A visual view of what is inside the Cryptoasset firms edition, before you open Excel. Choose a tab to explore the illustrative worked example.
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Cryptoasset firms
Financial crime risk assessment · illustrative example firm: Marlowcrest Digital Limited
- 32
- Pre-seeded risk factors
- 5
- Risk categories
- 24
- High or very high inherent risks
- 00
- Categories above appetite
Editable in your copy
Regulation 18(2)(b)
Illustrative profile
After example controls
Top example risks
Showing the top 7 of 31 scored factors. Pre-seeded factors you can edit, remove or add to in Excel. Residual is the category position after example controls.
| Risk factor | Score | Inherent | Residual | Theme |
|---|---|---|---|---|
| Countries subject to sanctions or embargoes | 20 | Very high | Medium | Countries or geographic areas |
| AI-enabled document fraud and identity circumvention | 16 | Very high | Medium | Delivery channels |
| Money mules and mule accounts | 16 | Very high | Medium | Customers |
| Customers found to have provided false or stolen identification | 16 | Very high | Medium | Customers |
| Unregistered or lightly supervised counterparties | 16 | Very high | Medium | Countries or geographic areas |
| Fiat on/off ramps | 16 | Very high | Medium | Products or services |
| Funds whose ultimate source is hard to trace | 16 | Very high | Medium | Transactions |
See the actual workbook · real Excel sheets, rendered from the example file
Built from the same data and formulas as the worked-example workbook, for an invented firm. All figures are illustrative.
About the Cryptoasset firms edition
Cryptoasset exchange providers and custodian wallet providers registered under the Money Laundering Regulations. Cryptoasset exchange providers and custodian wallet providers are relevant persons under reg 8(2)(j) and (k). The NRA 2025 assesses the risk of money laundering through cryptoassets as high, so expect close supervisory scrutiny of your assessment.



