Anti Money Laundering Investigations

Expert-defined terms from the Graduate Certificate in Know Your Customer and Anti-Money Laundering Compliance course at HealthCareStudies (An LSPM brand). Free to read, free to share, paired with a professional course.

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Anti Money Laundering Investigations

Abnormal Transaction #

Abnormal Transaction

Concept #

A financial activity that deviates from the normal pattern of a customer’s behavior.

Explanation #

When a transaction’s size, frequency, or destination is inconsistent with a client’s known profile, it may indicate money‑laundering. For example, a retail store that suddenly processes a single $500,000 cash deposit is abnormal.

Practical application #

AML investigators flag such transactions in monitoring systems and conduct source‑of‑funds analysis.

Challenges #

Distinguishing legitimate outliers from illicit activity, especially for high‑net‑worth clients with variable cash flows.

Adverse Media #

Adverse Media

Concept #

Negative news or public reports concerning a person or entity.

Explanation #

Articles linking a client to corruption, fraud, or terrorism raise AML concerns. An investigative report about a businessman’s involvement in a bribery scheme is adverse media.

Practical application #

Compliance teams use media monitoring tools to capture such information during onboarding or periodic reviews.

Challenges #

Verifying the credibility of sources, language barriers, and the volume of data.

Aggregate Transaction Monitoring #

Aggregate Transaction Monitoring

Concept #

The process of evaluating the total value of multiple transactions over a set period.

Explanation #

A series of small deposits that together exceed a reporting threshold may be indicative of structuring. For instance, five $9,900 cash deposits within a week total $49,500.

Practical application #

Systems aggregate transactions by customer, account, or product to identify patterns.

Challenges #

Managing false positives caused by legitimate high‑frequency activity.

AML Risk Assessment #

AML Risk Assessment

Concept #

Systematic evaluation of the likelihood and impact of money‑laundering risks.

Explanation #

Institutions assess risks across customers, products, geographies, and delivery channels. A high‑risk jurisdiction combined with a cash‑intensive product raises the AML risk score.

Practical application #

Results guide resource allocation, controls design, and monitoring intensity.

Challenges #

Keeping assessments current amid regulatory changes and evolving criminal tactics.

Anti‑Money Laundering (AML) #

Anti‑Money Laundering (AML)

Concept #

A set of laws, regulations, and procedures aimed at preventing the generation of illicit funds.

Explanation #

AML frameworks require identification, monitoring, reporting, and record‑keeping to deter money laundering.

Practical application #

Financial institutions implement policies, training, and technology to meet AML obligations.

Challenges #

Balancing compliance cost with operational efficiency, and adapting to new typologies.

Beneficial Owner #

Beneficial Owner

Concept #

The natural person who ultimately owns or controls a legal entity.

Explanation #

Identifying the beneficial owner reveals who truly profits from a corporation, trust, or partnership. A shell company may list a nominee director, but the real owner is the hidden individual.

Practical application #

AML investigators request ownership documents, shareholder registers, and trust deeds.

Challenges #

Complex ownership structures, privacy laws, and resistance from clients.

Branch Office Transaction #

Branch Office Transaction

Concept #

Transactions conducted through a subsidiary or branch of a financial institution.

Explanation #

Money may be moved between branches to obscure its origin, especially in jurisdictions with lax oversight. A transfer from a branch in Country A to a branch in Country B can be a layering step.

Practical application #

Centralized monitoring consolidates branch activity for holistic analysis.

Challenges #

Data integration across disparate systems and regulatory regimes.

Cash‑Intensive Business #

Cash‑Intensive Business

Concept #

An enterprise that routinely handles large volumes of cash.

Explanation #

Casinos, car dealerships, and convenience stores are typical cash‑intensive businesses, making them attractive for laundering. A car dealer receiving $100,000 in cash for a single vehicle may be a red flag.

Practical application #

Enhanced monitoring and transaction limits are applied to such sectors.

Challenges #

Differentiating legitimate high‑cash sales from illicit deposits.

Chain of Custody #

Chain of Custody

Concept #

Documentation of the handling and location of evidence from collection to presentation.

Explanation #

In AML investigations, preserving electronic logs, transaction records, and interview notes ensures admissibility. A missing audit trail could jeopardize a case.

Practical application #

Investigators maintain logs of who accessed data and when.

Challenges #

Managing large data volumes while maintaining confidentiality.

Clean Money #

Clean Money

Concept #

Legitimate funds that have not been derived from criminal activity.

Explanation #

Distinguishing clean from dirty money is central to AML; however, criminals often blend illicit proceeds with lawful earnings. An entrepreneur’s profits from a legitimate business may be used to mask illegal gains.

Practical application #

Source‑of‑funds verification helps confirm legitimacy.

Challenges #

The “mixing” technique complicates detection.

Compliance Officer #

Compliance Officer

Concept #

The individual responsible for overseeing an institution’s AML program.

Explanation #

The compliance officer ensures policies are implemented, staff are trained, and reports are filed. In many jurisdictions, the officer must be a designated “Money Laundering Reporting Officer” (MLRO).

Practical application #

Conducts internal reviews, liaises with regulators, and responds to SARs.

Challenges #

Keeping abreast of evolving regulations and managing cross‑functional responsibilities.

Correspondent Banking #

Correspondent Banking

Concept #

Banking services provided by one financial institution to another, typically across borders.

Explanation #

Correspondent banks facilitate international payments, but they also present AML risks if the respondent bank lacks robust controls. A correspondent relationship with a high‑risk jurisdiction can expose the bank to laundering.

Practical application #

Due‑diligence questionnaires assess the respondent’s AML framework.

Challenges #

Monitoring large volumes of low‑value transactions and mitigating “de‑risking” pressures.

Counterfeit Currency Detection #

Counterfeit Currency Detection

Concept #

Techniques used to identify forged banknotes.

Explanation #

Criminals may introduce counterfeit cash into the financial system to disguise illicit proceeds. Automated teller machines with counterfeit detection sensors reduce this risk.

Practical application #

Staff training on visual inspection and use of detection devices.

Challenges #

Rapid evolution of counterfeit technology and false‑positive alerts.

Court Order Subpoena #

Court Order Subpoena

Concept #

A legal directive requiring the production of documents or testimony.

Explanation #

In AML investigations, regulators may issue subpoenas for transaction logs, communications, or client files. Failure to comply can result in penalties.

Practical application #

Legal teams coordinate with compliance to gather responsive data.

Challenges #

Balancing confidentiality obligations with regulatory demands.

Customer Due Diligence (CDD) #

Customer Due Diligence (CDD)

Concept #

The process of collecting and verifying information about a client at onboarding.

Explanation #

CDD establishes the identity, purpose, and risk profile of a customer. A standard CDD may involve passport verification, address proof, and business activity description.

Practical application #

Automated identity verification tools streamline CDD.

Challenges #

Inconsistent documentation standards across jurisdictions.

Dark Web Monitoring #

Dark Web Monitoring

Concept #

Surveillance of illicit online marketplaces and forums.

Explanation #

Money‑laundering networks often advertise services on the dark web. Monitoring can reveal emerging typologies, such as cryptocurrency mixers advertised for “cash cleaning.”

Practical application #

Intelligence teams use specialized tools to scrape and analyze dark‑web listings.

Challenges #

Anonymity, rapid turnover of sites, and legal constraints on data collection.

Data Mining #

Data Mining

Concept #

Extracting patterns from large datasets using statistical methods.

Explanation #

AML systems apply data‑mining algorithms to detect anomalies, such as sudden spikes in transaction volume for a dormant account.

Practical application #

Clustering and regression analyses help prioritize alerts.

Challenges #

Ensuring data quality and avoiding bias in model training.

De‑Risking #

De‑Risking

Concept #

The practice of terminating relationships with high‑risk clients or jurisdictions.

Explanation #

Banks may close accounts in countries flagged for terrorism financing to reduce exposure. While de‑risking limits AML risk, it can also restrict access to legitimate customers.

Practical application #

Periodic risk reviews trigger de‑risking decisions.

Challenges #

Reputational impact and potential regulatory scrutiny for discriminatory practices.

Designated Non‑Financial Business and Professional (DNFBP) #

Designated Non‑Financial Business and Professional (DNFBP)

Concept #

Entities that are not banks but are subject to AML obligations.

Explanation #

Lawyers, accountants, and dealers in precious metals must implement AML controls. A law firm assisting a client in setting up offshore trusts must conduct CDD.

Practical application #

Sector‑specific guidance outlines required procedures.

Challenges #

Varied compliance maturity across DNFBP sectors.

Digital Identity Verification #

Digital Identity Verification

Concept #

Using electronic methods to confirm a person’s identity.

Explanation #

Solutions like facial recognition, document scanning, and liveness checks enable remote onboarding. A fintech app may require a selfie matched to a passport scan.

Practical application #

Reduces onboarding time while maintaining regulatory standards.

Challenges #

Data privacy concerns and false‑negative rates for certain demographics.

Disguised Transaction #

Disguised Transaction

Concept #

A movement of funds designed to conceal its true nature or origin.

Explanation #

Using a series of transfers through multiple accounts to obscure the source. For example, moving $200,000 through three shell companies before reaching a legitimate business.

Practical application #

Transaction mapping tools visualize flow paths.

Challenges #

Complex ownership structures and limited transparency in some jurisdictions.

Documentary Credit (Letter of Credit) #

Documentary Credit (Letter of Credit)

Concept #

A banking instrument guaranteeing payment to a seller upon fulfillment of conditions.

Explanation #

Criminals may manipulate letters of credit to extract funds from unsuspecting banks. A fabricated shipping document can trigger payment under a fraudulent LC.

Practical application #

Trade compliance units verify documents against independent sources.

Challenges #

High‑value transactions and reliance on third‑party documentation.

Enhanced Due Diligence (EDD) #

Enhanced Due Diligence (EDD)

Concept #

A deeper investigation applied to high‑risk customers or transactions.

Explanation #

EDD may require source‑of‑wealth analysis, ongoing monitoring, and senior‑management approval. A politically exposed person (PEP) from a sanctioned country triggers EDD.

Practical application #

Detailed questionnaires and external database checks are employed.

Challenges #

Resource intensity and potential client friction.

Escrow Account #

Escrow Account

Concept #

A third‑party account that holds funds until contractual conditions are met.

Explanation #

Escrow can be abused to layer money, especially when the escrow agent lacks robust AML controls. A real‑estate transaction where the buyer deposits cash into an escrow account before the sale finalizes may be suspicious.

Practical application #

AML checks are performed on both the escrow provider and the underlying transaction.

Challenges #

Multiple parties and jurisdictional differences in escrow regulation.

Financial Action Task Force (FATF) #

Financial Action Task Force (FATF)

Concept #

An intergovernmental body that sets global AML and counter‑terrorism financing standards.

Explanation #

FATF issues 40 Recommendations that form the basis of most national AML regimes. A country’s non‑compliance with FATF standards can lead to “grey‑list” designation.

Practical application #

Institutions align policies with FATF guidance to avoid regulatory penalties.

Challenges #

Keeping pace with frequent amendments and interpreting ambiguous language.

Financial Intelligence Unit (FIU) #

Financial Intelligence Unit (FIU)

Concept #

A government agency that receives, analyzes, and disseminates suspicious transaction reports.

Explanation #

FIUs serve as national hubs for AML data. In the United States, the Financial Crimes Enforcement Network (FinCEN) fulfills this role.

Practical application #

Institutions submit SARs to the FIU within statutory timeframes.

Challenges #

High volume of reports and limited feedback to reporting entities.

Funds Transfer System (FTS) #

Funds Transfer System (FTS)

Concept #

Infrastructure enabling the movement of money between banks.

Explanation #

Systems like SWIFT or domestic ACH networks process large numbers of transactions, providing data for AML monitoring. A sudden surge in outbound SWIFT messages from a corporate account may indicate illicit activity.

Practical application #

Real‑time monitoring of FTS messages for pattern detection.

Challenges #

Data standardization and cross‑border data sharing constraints.

Geographic Risk #

Geographic Risk

Concept #

The level of AML risk associated with a particular location.

Explanation #

Countries subject to sanctions, high corruption scores, or known terrorist safe havens are deemed high‑risk. A client based in a high‑risk jurisdiction will attract heightened scrutiny.

Practical application #

Risk matrices assign scores based on third‑party country ratings.

Challenges #

Rapid political changes and differing international risk lists.

Greenwashing #

Greenwashing

Concept #

Misrepresenting a product or investment as environmentally friendly.

Explanation #

Money launderers may use “green” projects to legitimize proceeds, claiming alignment with sustainability goals. A bogus renewable‑energy project can be a front for illicit funds.

Practical application #

ESG due‑diligence checks verify the authenticity of environmental claims.

Challenges #

Verifying technical claims and dealing with emerging green‑finance instruments.

High‑Risk Customer #

High‑Risk Customer

Concept #

An individual or entity that presents an elevated AML risk profile.

Explanation #

Indicators include political exposure, involvement in high‑value cash businesses, or connections to high‑risk jurisdictions. A billionaire philanthropist from a sanctioned country is a high‑risk customer.

Practical application #

Such customers undergo EDD and continuous monitoring.

Challenges #

Balancing commercial opportunities with regulatory obligations.

Human Trafficking Financing #

Human Trafficking Financing

Concept #

The movement of funds that support the exploitation of persons.

Explanation #

Proceeds from trafficking may be laundered through legitimate businesses like hospitality or transport. A chain of hotels receiving cash payments could be a conduit for trafficker earnings.

Practical application #

Transaction monitoring rules flag high‑cash hospitality accounts.

Challenges #

Victim identification and coordination with law‑enforcement agencies.

Identity Theft #

Identity Theft

Concept #

The unauthorized use of another person’s personal information for fraudulent purposes.

Explanation #

Launderers may create synthetic identities by blending real and fabricated data to open accounts. A fraudster uses a stolen passport number combined with a fabricated address to open a bank account.

Practical application #

Real‑time verification and document authentication tools mitigate risk.

Challenges #

Rapid creation of synthetic profiles and limited data points for verification.

In‑Kind Transaction #

In‑Kind Transaction

Concept #

Transfer of assets other than cash, such as securities or commodities.

Explanation #

Launderers may move high‑value items like gold bars to avoid cash detection thresholds. A shipment of precious stones purchased with illicit proceeds exemplifies an in‑kind transaction.

Practical application #

Valuation and provenance checks are required for non‑cash assets.

Challenges #

Valuation complexity and limited traceability of physical goods.

International Sanctions #

International Sanctions

Concept #

Restrictions imposed by governments or international bodies on trade and financial activity.

Explanation #

Sanctions target individuals, entities, or entire countries. A bank must block transactions involving a listed terrorist organization.

Practical application #

Automated screening against sanctions lists prevents prohibited dealings.

Challenges #

Frequent updates, overlapping lists, and divergent national implementations.

Internal Controls #

Internal Controls

Concept #

Policies and procedures designed to ensure compliance with AML regulations.

Explanation #

Controls include segregation of duties, transaction limits, and audit trails. An internal control may require dual approval for transfers over $250,000.

Practical application #

Periodic testing and self‑assessment validate control effectiveness.

Challenges #

Maintaining control relevance as business models evolve.

International Wire Transfer #

International Wire Transfer

Concept #

An electronic transfer of funds between banks in different countries.

Explanation #

Wire transfers are a common vehicle for moving illicit proceeds quickly. A series of rapid wires to offshore accounts can signal layering.

Practical application #

Monitoring systems flag high‑risk destination codes and unusual frequency.

Challenges #

Balancing speed of service with thorough AML review.

Joint Account #

Joint Account

Concept #

An account held by two or more individuals with equal ownership rights.

Explanation #

Joint accounts can be used to obscure the true source of funds, especially when one owner is a PEP. A family member’s name added to a high‑risk client’s account may dilute scrutiny.

Practical application #

Each owner undergoes separate CDD and risk assessment.

Challenges #

Managing consent, privacy, and the authority to act on the account.

KYC (Know Your Customer) #

KYC (Know Your Customer)

Concept #

The process of verifying a client’s identity and understanding their financial activities.

Explanation #

KYC is the foundation of AML compliance, requiring documents such as passports, utility bills, and corporate registries.

Practical application #

Digital KYC platforms automate data capture and verification.

Challenges #

Inconsistent documentation standards and cross‑border verification difficulties.

Layering #

Layering

Concept #

The second stage of money laundering where illicit funds are moved to obscure their origin.

Explanation #

Techniques include rapid transfers, use of shell companies, and conversion into different asset classes. A series of transfers through multiple offshore accounts constitutes layering.

Practical application #

Transaction mapping visualizes complex money flows.

Challenges #

High‑volume data and limited transparency in certain jurisdictions.

Legitimate Business Front #

Legitimate Business Front

Concept #

A legal entity used to disguise illicit activity.

Explanation #

Criminals establish a real‑world business, such as a restaurant, to co‑mix dirty money with legitimate earnings. The cash generated by the restaurant masks the proceeds from drug trafficking.

Practical application #

Financial statements and cash flow analysis help detect inconsistencies.

Challenges #

Small‑business confidentiality and limited public data.

Concept #

A unique 20‑character code assigned to legal entities engaged in financial transactions.

Explanation #

LEIs improve transparency by linking transactions to specific entities. A bank can quickly identify the corporate owner of a trade‑finance transaction using its LEI.

Practical application #

Systems require LEI entry at onboarding and during transaction processing.

Challenges #

Incomplete coverage for private companies and cost of acquisition.

Money‑Laundering Reporting Officer (MLRO) #

Money‑Laundering Reporting Officer (MLRO)

Concept #

The senior individual responsible for receiving and filing SARs.

Explanation #

The MLRO assesses the merit of internal alerts, decides on reporting, and communicates with regulators. In many jurisdictions, the MLRO must be a designated individual.

Practical application #

The MLRO reviews daily alert dashboards and escalates high‑risk cases.

Challenges #

High workload and need for deep subject‑matter expertise.

Money‑Laundering Typology #

Money‑Laundering Typology

Concept #

A recurring method or pattern used to conceal illicit proceeds.

Explanation #

Examples include “smurfing” (multiple small cash deposits) and “trade‑based laundering” (over‑ or under‑ invoicing). Understanding typologies aids in designing detection rules.

Practical application #

Rule‑based engines encode typology indicators.

Challenges #

Criminals continuously evolve methods to evade detection.

Non‑Resident Alien (NRA) #

Non‑Resident Alien (NRA)

Concept #

An individual who does not reside in the jurisdiction where a financial institution operates.

Explanation #

NRAs may be subject to additional AML checks due to cross‑border risk. A foreign investor opening a brokerage account in the U.S. must provide source‑of‑wealth documentation.

Practical application #

Enhanced screening for NRAs includes sanctions and PEP checks.

Challenges #

Language barriers and differing documentation standards.

Obligation to Report Suspicious Activity #

Obligation to Report Suspicious Activity

Concept #

The legal duty to file a SAR when a transaction appears unusual or potentially illicit.

Explanation #

Failure to report can result in fines, imprisonment, or loss of license. An unusually large cash withdrawal from an otherwise low‑volume account triggers reporting.

Practical application #

Institutions maintain internal SAR templates and escalation procedures.

Challenges #

Determining materiality and avoiding “over‑reporting” that burdens regulators.

Off‑Shore Account #

Off‑Shore Account

Concept #

A bank account held in a jurisdiction different from the account holder’s residence.

Explanation #

Offshore accounts are often used for privacy, but they also facilitate laundering. A client maintaining an offshore trust with minimal transparency raises AML concerns.

Practical application #

Additional due‑diligence steps verify ownership and purpose.

Challenges #

Limited public registries and confidentiality laws.

On‑Going Monitoring #

On‑Going Monitoring

Concept #

Continuous review of customer transactions and behavior after onboarding.

Explanation #

Monitoring detects deviations from the expected profile, such as a sudden increase in wire transfers.

Practical application #

Automated scoring engines generate alerts for review.

Challenges #

Alert fatigue and resource constraints.

Operational Risk #

Operational Risk

Concept #

The risk of loss resulting from inadequate or failed internal processes, people, or systems.

Explanation #

AML failures, such as missed SAR filings, constitute operational risk. A system outage that prevents transaction monitoring can expose the institution to money‑laundering exposure.

Practical application #

Risk registers track AML‑related operational incidents.

Challenges #

Integrating AML considerations into broader operational risk frameworks.

PEP (Politically Exposed Person) #

PEP (Politically Exposed Person)

Concept #

An individual who holds or has held a prominent public function, and their immediate family or close associates.

Explanation #

PEPs are vulnerable to corruption and thus pose higher AML risk. A former minister who now runs a consultancy must undergo EDD.

Practical application #

PEP screening is embedded in onboarding workflows.

Challenges #

Identifying indirect relationships and managing privacy concerns.

Physical Currency Controls #

Physical Currency Controls

Concept #

Procedures governing the handling of cash within an institution.

Explanation #

Controls include cash transaction reporting, teller training, and secure storage. A teller must report any cash deposit exceeding $10,000.

Practical application #

Cash‑handling policies define thresholds and escalation paths.

Challenges #

Balancing customer service with regulatory compliance.

Political Risk #

Political Risk

Concept #

The likelihood that political events will affect the AML risk profile of a client or jurisdiction.

Explanation #

Regime change, civil unrest, or policy shifts can increase laundering opportunities. A client operating in a country undergoing a coup may face heightened scrutiny.

Practical application #

Risk models incorporate political risk indicators.

Challenges #

Rapidly changing political landscapes and limited reliable data.

Polymorphic Money Laundering #

Polymorphic Money Laundering

Concept #

The use of multiple, changing techniques to evade detection.

Explanation #

Criminals may switch between trade‑based schemes, cryptocurrency mixers, and real‑estate purchases within the same laundering cycle.

Practical application #

Machine‑learning models that adapt to new patterns help identify polymorphic behavior.

Challenges #

Need for continuous model retraining and data labeling.

Pre‑Approval Transaction #

Pre‑Approval Transaction

Concept #

A transaction that must be authorized by senior management before execution.

Explanation #

Large or high‑risk transfers, such as a $5 million outbound wire to a new beneficiary, often require pre‑approval.

Practical application #

Workflow systems route requests to designated approvers.

Challenges #

Delays in business processes and ensuring consistent risk assessment.

Privacy Shield #

Privacy Shield

Concept #

Legal frameworks governing the transfer of personal data across borders.

Explanation #

AML investigations often need personal data from foreign jurisdictions; privacy shields affect how that data can be shared.

Practical application #

Data‑sharing agreements incorporate privacy shield clauses.

Challenges #

Divergent privacy regimes and potential conflicts with AML obligations.

Proceeds of Crime #

Proceeds of Crime

Concept #

Money or assets derived from illegal activity.

Explanation #

The core objective of AML is to prevent the use of proceeds of crime in the legitimate financial system. A drug trafficker’s cash earnings are proceeds of crime.

Practical application #

Source‑of‑wealth documentation aims to verify legitimacy.

Challenges #

Complex layering can make tracing origins difficult.

Publicly‑Listed Company #

Publicly‑Listed Company

Concept #

A corporation whose shares are traded on a stock exchange.

Explanation #

Public companies are subject to stricter disclosure requirements, yet they can still be used for laundering, especially via insider‑trading schemes.

Practical application #

AML checks include shareholder registers and insider‑trading alerts.

Challenges #

High volume of transactions and rapid market movements.

Quarantine Period #

Quarantine Period

Concept #

A time interval during which newly opened accounts are subject to heightened monitoring.

Explanation #

A new account may be placed in a quarantine period of 30 days, during which all transactions are reviewed manually.

Practical application #

Alerts are automatically escalated for accounts in quarantine.

Challenges #

Balancing risk mitigation with customer experience.

Real‑Estate Money Laundering #

Real‑Estate Money Laundering

Concept #

The use of property purchases, sales, or rentals to conceal illicit funds.

Explanation #

Buying high‑value property with cash or through layered corporate structures can integrate dirty money. A shell company purchasing a luxury condo is a classic example.

Practical application #

Property AML checks involve title searches, source‑of‑wealth verification, and monitoring of price anomalies.

Challenges #

Limited transparency in ownership registries and cross‑border property deals.

Regulatory Reporting #

Regulatory Reporting

Concept #

Mandatory submissions to supervisory authorities, such as SARs, CTRs, and annual AML reports.

Explanation #

Failure to report on time can lead to enforcement actions. A missed Currency Transaction Report (CTR) for a cash deposit exceeding $10,000 may trigger penalties.

Practical application #

Automated workflows generate and transmit reports.

Challenges #

Keeping up with differing filing deadlines across jurisdictions.

Risk Appetite #

Risk Appetite

Concept #

The amount of risk an organization is willing to accept in pursuit of its objectives.

Explanation #

A bank may set a low AML risk appetite, meaning it will avoid high‑risk customers even if profitable.

Practical application #

Risk appetite informs policy thresholds, such as transaction limits.

Challenges #

Aligning appetite with business strategy and regulatory expectations.

Sanctions Evasion #

Sanctions Evasion

Concept #

Deliberate actions taken to circumvent economic or trade restrictions.

Explanation #

Using intermediaries, shell companies, or alternative payment methods to move funds around sanctions. A Russian oligarch routing money through a third‑party offshore trust to avoid U.S. sanctions exemplifies evasion.

Practical application #

Enhanced screening for indirect matches and “look‑through” analysis.

Challenges #

Complex ownership webs and limited data on ultimate beneficiaries.

Sector‑Specific AML Controls #

Sector‑Specific AML Controls

Concept #

Tailored AML measures designed for particular industries.

Explanation #

Casinos must implement real‑time monitoring of chip purchases; law firms may focus on trust formation documentation.

Practical application #

Industry guidelines prescribe controls, such as transaction limits for gambling tables.

Challenges #

Ensuring sector‑wide consistency while accommodating unique business models.

Security Token Offering (STO) #

Security Token Offering (STO)

Concept #

A fundraising method that issues tokenized securities on a blockchain.

Explanation #

STOs can be used to launder money by converting cash into tokenized assets that are later sold. A fraudster may invest illicit cash into an STO and later redeem tokens for fiat.

Practical application #

AML checks include blockchain analytics and investor verification.

Challenges #

Rapidly evolving regulatory guidance and anonymity features of blockchain.

Shell Company #

Shell Company

Concept #

A legal entity with no active business operations or significant assets.

Explanation #

Shells are frequently employed to hide ownership and move funds. A company registered in a tax haven with only a registered address is a shell.

Practical application #

Ownership verification and beneficial‑owner identification are critical.

Challenges #

Lack of public records and nominee directors.

Smurfing (Structuring) #

Smurfing (Structuring)

Concept #

The practice of breaking up large transactions into smaller amounts to avoid reporting thresholds.

Explanation #

Depositing $9,500 cash daily instead of a single $50,000 deposit to evade CTR filing is smurfing.

Practical application #

Monitoring systems detect repeated near‑threshold transactions.

Challenges #

Distinguishing legitimate frequent deposits from deliberate structuring.

Source‑of‑Wealth (SOW) #

Source‑of‑Wealth (SOW)

Concept #

The origin of a person’s accumulated assets, distinct from the source‑of‑funds of a specific transaction.

Explanation #

SOW assessment looks at how a client amassed their overall wealth, such as inheritance, business earnings, or illicit activity. A sudden increase in net worth without a clear business explanation may trigger SOW review.

Practical application #

Questionnaires, tax returns, and third‑party wealth reports are used.

Challenges #

Privacy concerns and limited documentation for high‑net‑worth individuals.

Suspicious Activity Report (SAR) #

Suspicious Activity Report (SAR)

Concept #

A filing made by a financial institution to an FIU when a transaction appears suspicious.

Explanation #

SARs contain details of the transaction, parties involved, and rationale for suspicion. A series of offshore transfers with no apparent business purpose would be reported.

Practical application #

SARs are reviewed by the MLRO before submission.

Challenges #

High volume of SARs and limited feedback from authorities.

Transaction Monitoring System (TMS) #

Transaction Monitoring System (TMS)

Concept #

Software that analyses customer transactions in real time or batch mode to detect AML risks.

Explanation #

TMS applies risk rules, thresholds, and pattern detection to flag suspicious activity. A sudden spike in inbound wires from high‑risk jurisdictions triggers an alert.

Practical application #

Configurable rule sets allow institutions to tailor monitoring to their risk profile.

Challenges #

Tuning rules to reduce false positives while maintaining detection effectiveness.

Travel Rule #

Travel Rule

Concept #

A regulatory requirement that financial institutions collect and transmit originator and beneficiary information for certain transfers.

Explanation #

For cryptocurrency transfers above a set amount, the sender’s and receiver’s details must be shared between VASPs. A $20,000 Bitcoin transfer must include name and address data.

Practical application #

VASPs integrate Travel Rule compliance into their platforms.

Challenges #

Interoperability between different VASP systems and privacy concerns.

Trusted Third Party (TTP) #

Trusted Third Party (TTP)

Concept #

An independent entity that facilitates verification or transaction processing.

Explanation #

In AML, a TTP may provide identity verification services or certify the authenticity of documents. A KYC service provider acting as a TTP validates client passports.

Practical application #

Contracts stipulate TTP responsibilities and data handling.

Challenges #

Ensuring the TTP’s own AML controls are robust.

Underground Banking #

Underground Banking

Concept #

Informal value transfer systems that operate outside formal banking channels.

Explanation #

Participants transfer money through a network of brokers, often relying on trust and community ties. A hawala operator moving funds from Country X to Country Y without a paper trail is an example.

Practical application #

Law enforcement monitors known hawala nodes and patterns.

Challenges #

Lack of documentation and cultural barriers to detection.

Unusual Transaction Pattern #

Unusual Transaction Pattern

Concept #

A sequence of activities that deviates from normal behavior and may indicate laundering.

Explanation #

Examples include frequent high‑value foreign exchange purchases by a low‑income individual, or a sudden shift from domestic to international transfers.

Practical application #

Behavioral analytics flag patterns for analyst review.

Challenges #

Defining “normal” baselines for diverse customer segments.

Virtual Asset Service Provider (VASP) #

Virtual Asset Service Provider (VASP)

Concept #

An entity that conducts activities involving virtual assets, such as exchanges or wallet providers.

Explanation #

VASPs are subject to AML obligations, including customer verification and transaction monitoring. A crypto exchange must file SARs for suspicious token movements.

Practical application #

Integration with blockchain analytics platforms enhances detection.

Challenges #

Rapid innovation in the crypto space and jurisdictional regulatory gaps.

Virtual Currency Mixer #

Virtual Currency Mixer

Concept #

A service that blends multiple cryptocurrency transactions to obscure the origin of funds.

Explanation #

Mixers receive coins from a sender, shuffle them with other inputs, and return “clean” coins, making tracing difficult.

Practical application #

AML systems flag addresses linked to known mixers.

Challenges #

Constant emergence of new mixer services and evasion techniques.

Whistleblower Policy #

Whistleblower Policy

Concept #

Procedures that enable employees or external parties to report suspected wrongdoing confidentially.

June 2026 intake · open enrolment
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