Pass the ACAMS AML Certifications CAMS Questions and answers with CertsForce

Real estate ML/TF risk is highest where transparency is low or the origin of funds is obscured:

Use of cash to purchase property (A):“All-cash transactions in real estate present a high ML risk, as they bypass traditional financial scrutiny and facilitate the placement of illicit funds.”(CAMS 6th Edition, Real Estate Money Laundering Risks)

Use of a company for the purchase of property (D):“Purchasing property through companies, especially shell companies, can conceal the beneficial owner and the true source of funds.”(CAMS 6th Edition, Real Estate ML/TF Risks; FATF, Real Estate Sector)

Incorrect Options:

B: Unlicensed agents may be risky, but the core risks are A and D.

C: Trusts may add complexity but are less common/high-risk than company structures.

E: Value manipulation is risky but less so than the above.

Forming complex trust structures and acting as a nominee director, providing tax advice to clients moving assets across borders, and assisting offshore entities from opaque jurisdictions in acquiring property are all higher-risk services. These activities may facilitate concealment of beneficial ownership, asset flight, or the integration of illicit funds into legitimate systems.

Nominee shareholders may be used for legitimate commercial reasons; however, FATF guidance identifies nominee arrangements as a significant money laundering risk when they obscure beneficial ownership.

The greatest risk arises when nominee shareholders provide anonymity to the true beneficial owner, preventing transparency in public registers and complicating due diligence. Criminals may exploit this opacity to conceal ownership, evade sanctions, launder illicit proceeds, or avoid tax and regulatory scrutiny.

The ability to hide ownership undermines one of the core objectives of AML/CFT frameworks: identifying and verifying beneficial owners. As a result, regulators require enhanced due diligence and clear documentation when nominee shareholders are involved.

Other features—such as administrative efficiency, compliance with local laws, or ease of share transfer—do not inherently increase financial crime risk when transparency and disclosure requirements are met.

The susceptibility of a company or jurisdiction to ML/TF abuse is significantly increased by:

Permissibility of bearer shares (B):“Bearer shares make it easy to hide ownership and control, presenting a major risk for misuse by criminals.”(CAMS 6th Edition, Beneficial Ownership and Company Transparency)

Rules governing the disclosure of beneficial ownership by the jurisdiction (C):“Weak requirements or loopholes in beneficial ownership disclosure are frequently exploited to conceal criminal involvement in corporate structures.”(CAMS 6th Edition, Chapter: Legal Persons and Arrangements)

Incorrect Options:

A: High or low fees are not a significant ML/TF risk driver.

D: Ease of travel is unrelated to ML/TF risk related to company structures.

Cross-border purchases increase complexity and risk due to differing regulations and potential anonymity.

Non-financed purchases, especially in cash, can facilitate money laundering by avoiding traditional financial scrutiny.

Policies outline the guiding principles and objectives of an organization’s AML framework, setting the tone for compliance. Procedures translate these policies into detailed, actionable steps that staff must follow. Both are essential for effective AML compliance.

Technology plays a critical role in strengthening AML/CFT programs by improving efficiency, consistency, and scalability. Regulators encourage the responsible use of technology while maintaining governance and oversight.

One major benefit is processing large volumes of data efficiently, helping institutions eliminate investigative backlogs and manage increasing transaction volumes. Technology also automates repetitive tasks, reducing human error and improving data accuracy, allowing compliance professionals to focus on higher-value investigative work.

Technology does not eliminate privacy concerns, and front-end search tools alone are not sufficient to drive effectiveness. Human oversight remains essential for decision-making, investigations, and regulatory reporting.