AML Business-Wide Risk Assessment Template (ML/TF/PF)
Enterprise-wide ML/TF/PF and sanctions evasion risk assessment: method, inputs, inherent risk by area, control ratings, residual risk, appetite, actions
使用方法: Use it when the MLRO prepares the annual enterprise-wide ML/TF/PF risk assessment for board approval. Fix the scales and formulas in the methodology section first, then quantify the business profile so every likelihood score rests on data. The main pitfall is rating every area medium year after year with no link to controls, resources or actions.
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AML Business-Wide Risk Assessment: [Institution name] [Assessment year]
The documented enterprise-wide (business-wide) assessment of the money laundering (ML), terrorist financing (TF) and proliferation financing (PF) risks an institution faces, including the risk of non-implementation or evasion of targeted financial sanctions: methodology, inputs, inherent risk by customer, product, channel and geography, control effectiveness, residual risk against appetite, and the action plan. Based on public law as of 2026-10: the risk assessment duty under national law transposing Directive (EU) 2015/849 (Art. 8), Regulation (EU) 2024/1624 (AMLR) Art. 10 from 2027-07-10, the US Bank Secrecy Act programme rule (31 CFR 1020.210) with the FinCEN programme proposal of 2026-04-07 (a proposal, not law), and UK MLR 2017 regulation 18. FATF Recommendation 1 is cited by number and title only. Replace every
[bracketed]value and every row marked Example. This is a document format, not legal, regulatory or financial advice. Obtain the law or standard for the normative text and check local law.
Document control
| Field | Value |
|---|---|
| Document ID | [BWRA-2026] |
| Institution | [Legal name, LEI] (Example: Fernhollow Bank) |
| Scope | [Group, entities and branches, see section 1.2] |
| Assessment period | [YYYY-MM-DD to YYYY-MM-DD] (Example: 2025-10-01 to 2026-09-30) |
| Data cut-off date | YYYY-MM-DD (Example: 2026-09-30) |
| Version | [1.0] |
| Status | [Draft / Approved / Superseded] |
| Owner | [@mlro] |
| Approvers/reviewers | [@compliance-manager], [@management-body], [@cro] (challenge), [@head-of-internal-audit] (review) |
| Last updated | YYYY-MM-DD |
| Next scheduled update | YYYY-MM-DD (at least annually, see section 13) |
| Classification | Confidential; available to supervisors on request |
| Policy reference | AML/CFT Programme Policy (compliance/aml-cft-programme-policy), section 4 |
Approvals
| Role | Name | Decision | Date |
|---|---|---|---|
| MLRO / compliance officer (author) | [@name] | [Submit] | YYYY-MM-DD |
| Chief risk officer (second-line challenge) | [@name] | [Challenge recorded] | YYYY-MM-DD |
| Compliance manager | [@name] | [Endorse] | YYYY-MM-DD |
| Management body | [Minute reference] | [Approve] | YYYY-MM-DD |
Revision history
| Version | Date | Author | Change |
|---|---|---|---|
| 0.1 | YYYY-MM-DD | [@mlro] | Data collection and draft scores |
| 0.9 | YYYY-MM-DD | [@mlro] | Second-line challenge incorporated |
| 1.0 (Example) | 2026-10-25 | [@mlro] | Approved; PF and sanctions evasion assessed as separate areas |
Contents
- 1. Purpose, scope and legal basis
- 2. Methodology
- 3. Inputs and information sources
- 4. Business profile
- 5. Customer risk
- 6. Products, services and transactions
- 7. Delivery channels
- 8. Geography
- 9. Terrorist financing, proliferation financing and sanctions evasion
- 10. Control effectiveness
- 11. Residual risk and appetite
- 12. Action plan
- 13. Approval, update triggers and record keeping
- 14. Glossary and references
- Standard and licence note
1. Purpose, scope and legal basis
1.1 Purpose
This assessment identifies and evaluates the ML, TF and PF risks to which [Institution name] is exposed, and the risk that targeted financial sanctions are not implemented or are evaded through its services. It sets the residual risk for each risk area, compares it with the appetite set by the management body, and decides which controls, resources and monitoring changes are needed. It is the basis for the customer risk rating methodology, the transaction monitoring coverage plan, the sanctions screening scope, the training plan and the independent testing plan.
1.2 Scope
| Entity / unit | Included | Business lines | Customers at cut-off | Notes |
|---|---|---|---|---|
| Fernhollow Bank (parent) (Example) | Yes | Retail, SME and commercial, CRE, trade finance, EUR correspondent accounts (respondents counted at the New York branch) | 377,200 | Two EU Member States |
| Fernhollow Leasing (Example) | Yes | Equipment and vehicle leasing | 18,300 | Shares some customers with the parent |
| Fernhollow Payments (Example) | Yes | Merchant acquiring, payment accounts | 16,200 | Licensed payment institution |
| Fernhollow Bank, New York branch (Example) | Yes | USD correspondent clearing, trade finance | 300 | US addendum applies |
| Total (Example) | 412,000 | Each customer counted once, in the entity that onboarded it; the 300 respondents were onboarded through the New York branch file and also hold EUR accounts at head office |
1.3 Legal basis (as of 2026-10, check local law)
| Jurisdiction | Requirement | Key points for this assessment |
|---|---|---|
| FATF | R.1 Assessing risks and applying a risk-based approach | Identify, assess and understand ML, TF and PF risks; apply measures proportionate to risk |
| EU now | National law transposing Directive (EU) 2015/849 Art. 8 | Documented, kept up to date, proportionate; consider the EU supranational and national risk assessments |
| EU from 2027-07-10 | AMLR Art. 10 | Covers ML, TF and non-implementation and evasion of targeted financial sanctions; considers Annex I risk variables and Annexes II and III risk factors, Union, national and sectoral assessments; assessment before new products, services, channels and technologies; drafted by the compliance officer, approved by the management body; AMLA guidelines on minimum content under Art. 10(4) |
| US (branch) | 31 CFR 1020.210 (programme), FFIEC BSA/AML Examination Manual (risk assessment section) | Risk assessment underpins the programme; the 2026-04-07 FinCEN proposal would make a risk assessment process explicit and require the national AML/CFT priorities to be considered (proposal only) |
| UK (if applicable) | MLR 2017 reg. 18 | Written risk assessment considering customers, countries, products, transactions and delivery channels |
2. Methodology
The assessment follows four steps for each risk area: (1) score inherent risk from likelihood and impact before controls; (2) rate the effectiveness of the controls that mitigate the area; (3) compute residual risk; (4) compare residual risk with appetite and decide on actions. Assessors may adjust a computed score by one band with written justification, approved by the MLRO and recorded in the adjustment log in section 11.
2.1 Inherent risk
Likelihood (L) measures how probable it is that the area is used for ML, TF, PF or sanctions evasion, based on volumes, customer mix, typologies and past cases. Impact (I) measures the consequence: size of possible flows, legal and regulatory consequences, and harm to the financial system.
| Score | Likelihood | Impact |
|---|---|---|
| 1 | Remote: no relevant typologies, low volumes, no cases in 3 years | Minor: small flows, no regulatory consequence |
| 2 | Possible: typologies exist; isolated internal cases | Moderate: limited flows; supervisory finding possible |
| 3 | Likely: established typologies; recurring cases or alerts | Major: significant flows; formal supervisory action possible |
| 4 | Almost certain: active abuse observed in the sector or the institution | Severe: large flows; enforcement, licence or correspondent relationships at risk |
2.2 Control effectiveness
Each control domain relevant to an area is rated for design and operating effectiveness using testing evidence (quality assurance, independent testing, audit findings, supervisory findings). The weakest material domain sets the area's control rating unless the assessor documents why stronger compensating controls apply.
| Control rating | Meaning | Mitigation factor |
|---|---|---|
| Strong | Well designed, tested, no material findings | 0.50 |
| Adequate | Well designed; minor findings being fixed | 0.30 |
| Needs improvement | Design or operating gaps with open medium or high findings | 0.15 |
| Weak | Material gaps; control cannot be relied on | 0.00 |
2.3 Residual risk and bands
| Band | Score range (inherent and residual) | Appetite position (Example) |
|---|---|---|
| Low | below 5.0 | Within appetite |
| Medium | 5.0 to below 9.0 | Within appetite; monitor |
| High | 9.0 to below 13.0 | Outside appetite; action plan within 12 months, board visibility |
| Very high | 13.0 and above | Outside tolerance; immediate action, consider restricting the activity |
Data quality matters as much as the scales. For each likelihood score, record the data extract, its owner and the date it was produced, and note any known gaps (for example customers with missing nationality or industry codes). Where data are missing, assume the higher of the plausible scores rather than the lower, and log the gap as an action. Two assessors from the second line score each area independently; differences of more than one point are discussed and the reason for the final score is recorded. This makes the result repeatable and gives the supervisor evidence that judgement was applied consistently.
The overall residual risk is the simple average of the area residual scores, mapped to the same bands. Any area in the High or Very high band is reported to the management body individually, whatever the overall result.
3. Inputs and information sources
The assessment draws on external sources (what the authorities and standard setters say about risk) and internal sources (what the institution's own data and cases show). Where the two disagree, the assessor explains why, because a gap often reveals a control weakness or a blind spot in monitoring.
| ID | Source | Date or version | Used for |
|---|---|---|---|
| SRC-01 | EU supranational risk assessment (Commission) | [Latest edition] | Sector and product typologies |
| SRC-02 | National risk assessment of [Member State] | [Edition and date] | National threats, priority predicate offences |
| SRC-03 | List of high-risk third countries identified by the European Commission | [Delegated regulation, latest amendment] | Geography scores |
| SRC-04 | FATF public statements and jurisdictions under increased monitoring | [Latest plenary] | Geography scores |
| SRC-05 | US national AML/CFT priorities (FinCEN, 2021-06-30) | 2021 list (current as of 2026-10) | US branch areas |
| SRC-06 | Supervisory communications and inspection findings | [Dates] | Control ratings |
| SRC-07 | Internal data: customer base, product volumes, cross-border flows | Cut-off 2026-09-30 (Example) | Likelihood scores |
| SRC-08 | Internal cases: alerts, investigations, SARs, exits, law-enforcement requests | 12 months to cut-off (Example) | Likelihood scores |
| SRC-09 | Quality assurance, independent testing and audit results | [Report IDs] | Control ratings |
| SRC-10 | Customer risk rating distribution | Cut-off (Example) | Customer area |
4. Business profile
The profile below summarises the size and shape of the business at the cut-off date. All figures are fictional and illustrative.
| Indicator | Value at 2026-09-30 (Example) | Change vs prior year |
|---|---|---|
| Total assets | EUR 47,400 million (latest balance sheet, 2026-12-31 plan figure) | [+x%] |
| Customers: retail individuals | 400,000 | [+x%] |
| Customers: SME and commercial | 11,200 | [+x%] |
| Customers: financial institutions (respondents) | 300 | [x] |
| Customers: non-profit organisations, trusts and other | 500 | [x] |
| Customers: corporate subtotal (all non-retail) | 12,000 | [x] |
| Customers: total | 412,000 | [+x%] |
| Customers rated High under the methodology | 10,000 (2.4%) | [x] |
| Cross-border payments, 12 months (same total as the Sanctions Exposure Assessment) | EUR 38,000 million | [+x%] |
| of which to or from higher-risk jurisdictions | EUR 1,150 million (3.0%) | [x] |
| Trade finance transactions, 12 months | 6,800 | [x] |
| Internal unusual activity reports / external SARs filed | 2,140 / 610 | [x] |
Check the totals: 400,000 + 11,200 + 300 + 500 = 412,000 customers (400,000 retail and 12,000 corporate). High-risk share: 10,000 / 412,000 = 2.4%. Higher-risk jurisdiction share of payments: 1,150 / 38,000 = 3.0%.
5. Customer risk
Customer risk depends on the share of customers whose profile makes abuse more likely or more damaging: legal entities with complex or opaque ownership, non-resident customers, PEPs and their family members and close associates, cash-intensive businesses, and sectors named in the national risk assessment. At Fernhollow Bank the retail base is large and mostly low risk, but a small segment of non-resident customers and complex corporate structures generates a disproportionate share of alerts and SARs.
| Sub-factor | Data at cut-off (Example) | Observation |
|---|---|---|
| Complex ownership (three or more layers, or trusts in the chain) | 1,300 legal entity customers (11% of 11,700 legal entities) | Concentrated in SME commercial real estate holding structures |
| Non-resident customers | 6,400 | 41% of external SARs relate to this group |
| PEPs, family members and close associates | 520 | All rated High under trigger TRG-01 of the methodology, domestic and foreign alike; 7 are foreign PEPs |
| Cash-intensive businesses | 900 legal entities | Retail, hospitality, vehicle trade |
| Customers linked to sectors named in the national risk assessment | 1,500 legal entities | Real estate, construction, vehicle trade |
| Area | Description | L | I | Inherent | Inherent band |
|---|---|---|---|---|---|
| RA-01 (Example) | Customers: non-resident and complex legal entity customers | 3 | 4 | 12 | High |
6. Products, services and transactions
Products differ in how easily they can move value quickly, across borders, through third parties or with limited transparency. Trade finance and correspondent services expose the bank to trade-based money laundering, mis-description of goods and nested relationships. Merchant acquiring in the payments subsidiary exposes it to transaction laundering, where an onboarded merchant processes payments for undisclosed businesses. Leasing is lower risk because assets are identified, payments are scheduled and funds come from the customer's own account, although early repayment in cash or from third parties remains a red flag.
| Area | Description | Key features | L | I | Inherent | Inherent band |
|---|---|---|---|---|---|---|
| RA-02 (Example) | Trade finance and correspondent payments (parent) | Cross-border, document-based, third-party flows, nested respondents | 3 | 4 | 12 | High |
| RA-05 (Example) | Merchant acquiring and payment accounts (payments subsidiary) | High volume, card-not-present, transaction laundering typologies | 4 | 3 | 12 | High |
| RA-06 (Example) | Equipment and vehicle leasing (leasing subsidiary) | Identified assets, scheduled payments, limited cash | 2 | 2 | 4 | Low |
New products assessed during the period are recorded here with the date of the product approval risk assessment, as required before launch under AMLR Art. 10 from 2027-07-10 and under current national law.
| Product approval ID | Product | Assessment date | Result | MLRO sign-off |
|---|---|---|---|---|
| NPA-2026-04 (Example) | Instant SEPA payments for SME customers | 2026-03-12 | Medium; added velocity scenario before launch | [@mlro] |
7. Delivery channels
Delivery channels affect how reliably the institution knows who it is dealing with. Remote onboarding through the mobile app now accounts for most new retail customers. Identity is verified with electronic identification or document and liveness checks, which reduces impersonation risk, but the channel is targeted by money mule recruitment and by synthetic identities. Business introduced through intermediaries is small and subject to contractual oversight.
| Sub-factor | Data at cut-off (Example) | Observation |
|---|---|---|
| Share of new retail customers onboarded remotely | 78% | Mule account cases concentrated in accounts under 6 months old |
| Customers onboarded through intermediaries | 1,200 | Annual intermediary reviews completed |
| Reliance on third-party CDD | None | Not used |
| Area | Description | L | I | Inherent | Inherent band |
|---|---|---|---|---|---|
| RA-03 (Example) | Remote onboarding through the mobile app | 3 | 3 | 9 | High |
8. Geography
Geographic risk comes from the countries where customers reside, where beneficial owners are based, and where payments are sent to or received from. Fernhollow Bank's own operations are in two EU Member States with comparable AML/CFT frameworks. The exposure arises mainly from cross-border flows of SME customers trading with suppliers in jurisdictions with strategic deficiencies, and from the US branch, which clears US-dollar payments for respondent banks in several regions.
| Area | Description | L | I | Inherent | Inherent band |
|---|---|---|---|---|---|
| RA-04 (Example) | Cross-border flows to and from higher-risk jurisdictions (EUR 1,150 million, 3.0% of cross-border payments) | 3 | 4 | 12 | High |
| RA-09 (Example) | US branch: USD correspondent clearing for respondent banks | 3 | 4 | 12 | High |
9. Terrorist financing, proliferation financing and sanctions evasion
Terrorist financing often involves small amounts from legitimate sources, moved through non-profit organisations, money transfer services or personal accounts. Proliferation financing and sanctions evasion typically use front companies, trade in dual-use goods, transshipment through third countries and complex ownership to hide a designated person's control. These risks are assessed as separate areas so that their controls (screening, trade document review, ownership and control analysis) are rated on their own evidence. The restrictive measures exposure assessment expected under EBA/GL/2024/14 is summarised here and documented in detail in the Sanctions Exposure Assessment (compliance/sanctions-exposure-assessment).
| Area | Description | L | I | Inherent | Inherent band |
|---|---|---|---|---|---|
| RA-07 (Example) | Terrorist financing: non-profit organisation customers and small-value transfers to conflict-adjacent regions | 2 | 4 | 8 | Medium |
| RA-08 (Example) | Proliferation financing and targeted financial sanctions evasion: trade customers dealing in dual-use goods | 2 | 4 | 8 | Medium |
10. Control effectiveness
Control ratings rest on evidence gathered during the period: quality assurance results, the independent test, internal audit findings and supervisory findings. A control domain with an open high-rated finding cannot be rated better than Needs improvement.
| Control domain | Evidence (Example) | Rating |
|---|---|---|
| CTL-01 Governance and risk assessment | Annual MLRO report; no open findings | Strong |
| CTL-02 CDD and EDD | QA pass rate 93%; 2 medium findings on beneficial ownership verification | Adequate |
| CTL-03a Transaction monitoring: payment and customer scenarios | Above- and below-the-line tuning tested in 2026; no open findings | Adequate |
| CTL-03b Transaction monitoring: trade finance document checks | Coverage gap for trade finance document checks (audit finding IA-2026-07, high) | Needs improvement |
| CTL-04 Merchant monitoring (payments subsidiary) | No transaction laundering detection; finding PAY-2026-02 (high) | Needs improvement |
| CTL-05 Sanctions screening | Tuning tested; dual-use goods review manual and inconsistent | Needs improvement for trade; Adequate for payments |
| CTL-06 Remote onboarding controls | Liveness and device checks; mule detection rule live since 2026-05 | Adequate |
| CTL-07 US branch programme | Independent test 2026: no material findings; OFAC screening tested | Strong |
| CTL-08 Training | Completion 98.6% | Adequate |
| Area | Relevant control domains | Area control rating | |
|---|---|---|---|
| RA-01 | CTL-02, CTL-03a | Adequate (both domains Adequate) | 0.30 |
| RA-02 | CTL-03b, CTL-05 (trade) | Needs improvement | 0.15 |
| RA-03 | CTL-06, CTL-02 | Adequate | 0.30 |
| RA-04 | CTL-03a, CTL-05 (payments) | Adequate (both domains Adequate) | 0.30 |
| RA-05 | CTL-04 | Needs improvement | 0.15 |
| RA-06 | CTL-02 | Adequate | 0.30 |
| RA-07 | CTL-02, CTL-05 (payments) | Adequate | 0.30 |
| RA-08 | CTL-05 (trade) | Needs improvement | 0.15 |
| RA-09 | CTL-07 | Strong | 0.50 |
Each area takes the rating of its weakest material control domain, as section 2.2 requires. No compensating-control exception is used in this assessment, so no area is rated better than its weakest domain: RA-01 and RA-04 rely on the payment and customer monitoring scenarios (CTL-03a, Adequate), while the trade finance document gap (CTL-03b, Needs improvement) is carried by RA-02 only. Splitting a domain in this way is acceptable only when the evidence (here, audit finding IA-2026-07) shows that the weakness is confined to one part of it; record that reasoning in the working papers.
11. Residual risk and appetite
| Area | Inherent | Residual | Residual band | Appetite position | |
|---|---|---|---|---|---|
| RA-01 Customers (Example) | 12 | 0.30 | 8.4 | Medium | Within appetite |
| RA-02 Trade finance and correspondent (Example) | 12 | 0.15 | 10.2 | High | Outside appetite |
| RA-03 Remote onboarding (Example) | 9 | 0.30 | 6.3 | Medium | Within appetite |
| RA-04 Higher-risk geographies (Example) | 12 | 0.30 | 8.4 | Medium | Within appetite |
| RA-05 Merchant acquiring (Example) | 12 | 0.15 | 10.2 | High | Outside appetite |
| RA-06 Leasing (Example) | 4 | 0.30 | 2.8 | Low | Within appetite |
| RA-07 Terrorist financing (Example) | 8 | 0.30 | 5.6 | Medium | Within appetite |
| RA-08 PF and sanctions evasion (Example) | 8 | 0.15 | 6.8 | Medium | Within appetite |
| RA-09 US branch USD clearing (Example) | 12 | 0.50 | 6.0 | Medium | Within appetite |
| Overall (average) (Example) | 7.19 | Medium | Within appetite, with two areas outside |
Check the computation: residual scores sum to 8.4 + 10.2 + 6.3 + 8.4 + 10.2 + 2.8 + 5.6 + 6.8 + 6.0 = 64.7; divided by 9 areas gives 7.19, which falls in the Medium band. RA-02 and RA-05 are High (10.2 each) and are reported individually to the management body with the actions in section 12.
| Adjustment ID | Area | Computed band | Adjusted band | Justification | Approved by |
|---|---|---|---|---|---|
| ADJ-01 (Example) | RA-08 | Medium | Medium (no change) | Considered raising to High given sector alerts; retained Medium because exposure is limited to 140 customers, all reviewed manually in Q3 | [@mlro] |
Read the result in two ways. The overall Medium rating tells the management body that the programme as a whole is proportionate to the business. The two High areas tell it where that conclusion does not hold: trade finance and correspondent payments in the parent, and merchant acquiring in the payments subsidiary. Both share the same cause, a monitoring control that was designed for plain payment flows and does not look at the commercial substance behind a document or a merchant. The action plan therefore targets the control gap rather than the customers, and the MLRO does not propose restricting either activity while the actions are on track. If either action slips by more than one quarter, the MLRO will propose interim limits, such as a cap on new trade finance customers in higher-risk corridors.
The chart places each area by its inherent likelihood and impact scores; colour and position do not replace the residual table, which is the authoritative result.
12. Action plan
| Action ID | Area / control | Action | Owner | Due | Success measure | Status |
|---|---|---|---|---|---|---|
| ACT-01 (Example) | RA-02 / CTL-03b | Implement trade document checks (price, goods, vessel and route) in trade finance workflow and add two trade-based ML scenarios | Head of trade operations | 2027-03-31 | Audit finding IA-2026-07 closed; scenarios validated | Open |
| ACT-02 (Example) | RA-05 / CTL-04 | Deploy merchant website and transaction pattern monitoring for transaction laundering | Payments subsidiary MLRO | 2027-06-30 | Finding PAY-2026-02 closed; monthly detection report | Open |
| ACT-03 (Example) | RA-08 / CTL-05 | Standardise dual-use goods review with checklist and second review for high-risk shipments | Head of sanctions | 2027-01-31 | QA pass rate at least 95% on sample of 50 | Open |
| ACT-04 (Example) | RA-03 / CTL-06 | Extend mule detection to accounts older than 6 months | Head of fraud and FCC analytics | 2027-02-28 | Rule validated; alert productivity tracked | Open |
| ACT-05 (Example) | Methodology | Align minimum content with AMLA guidelines under AMLR Art. 10(4) once published | Group MLRO | 2027-05-31 | Gap analysis approved | Planned |
Actions are tracked monthly by the MLRO and reported quarterly to the management body together with the AML/CFT Programme Policy (compliance/aml-cft-programme-policy) indicators. Changes to customer scoring that follow from this assessment are made in the Customer Risk Rating Methodology (compliance/customer-risk-rating-methodology); changes to monitoring follow the Transaction Monitoring Scenario Specification (compliance/transaction-monitoring-scenario-spec).
13. Approval, update triggers and record keeping
The management body approves the assessment annually. The MLRO updates the relevant area, and seeks approval of the change, within [60] days of any of the following triggers:
- A new product, service, delivery channel, technology or customer segment, or entry into a new country.
- Publication of a new supranational or national risk assessment, or a change to the Commission list of high-risk third countries or FATF statements that affects a material flow.
- A significant supervisory or internal audit finding, or a material incident such as a large sanctions breach or a major SAR case.
- A merger, acquisition or material outsourcing.
- New sanctions regimes or designations that materially change exposure.
When the assessment is presented for approval, the MLRO summarises in one page what changed since the previous version, which scores moved and why, which actions closed, and which new actions are proposed. The management body records its challenge and any changes it requests in the minutes. A board that approves the assessment without questions is a warning sign for supervisors, so the minutes should show the discussion.
All versions, working papers, data extracts and approvals are kept for at least five years after the version is superseded, and are made available to supervisors on request. The assessment, its data and its working papers are confidential and shared on a need-to-know basis.
14. Glossary and references
| Term | Meaning |
|---|---|
| BWRA | Business-wide (enterprise-wide) risk assessment |
| Inherent risk | Risk before controls |
| Residual risk | Risk remaining after controls |
| Mitigation factor () | Share of inherent risk the controls are assumed to remove, from the control rating |
| PF | Proliferation financing |
| TFS | Targeted financial sanctions |
| Transaction laundering | Processing card payments for an undisclosed business through an onboarded merchant |
References (obtain the current official versions):
- FATF Recommendations, R.1 Assessing risks and applying a risk-based approach, R.6 and R.7 targeted financial sanctions (number and title only).
- Directive (EU) 2015/849, Art. 8, as amended, and national transposition; EUR-Lex.
- Regulation (EU) 2024/1624 (AMLR), Arts 9, 10 and 90, Annexes I to III; applies from 2027-07-10; EUR-Lex.
- EBA Guidelines on ML/TF risk factors (EBA/GL/2021/02, as amended); EBA/GL/2024/14 on restrictive measures (applies 2025-12-30).
- 31 CFR 1020.210; FFIEC BSA/AML Examination Manual; FinCEN AML/CFT National Priorities (2021-06-30); FinCEN NPRM 2026-04-07 (proposal).
- UK MLR 2017 (SI 2017/692) reg. 18.
- Related templates: Risk Methodology (
compliance/risk-methodology), Risk Register (compliance/risk-register), Risk Appetite Statement (finance/risk-appetite-statement), Fraud Risk Assessment (compliance/fraud-risk-assessment), Board Pack (business/board-pack).
Standard and licence note
Based on public law: EU legislation from EUR-Lex (Directive (EU) 2015/849 and Regulation (EU) 2024/1624), reused with acknowledgement and summarised in original wording; US federal regulations and FinCEN and FFIEC publications (US government works, public domain); and the UK Money Laundering Regulations 2017 (Crown copyright, Open Government Licence v3.0 where stated). EBA guidelines are cited by number with acknowledgement. FATF and AMLA publications are cited by number and title only; no text is reproduced or paraphrased. The scoring scales, formulas and bands are original and illustrative, not regulatory requirements. The FinCEN 2026 rule is a proposal. Fernhollow Bank and all figures are fictional. This template is original text written for this collection. Check the current official version of each law and guideline before use. Template licence: MIT.
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