Understanding how different PEP lists may vary is crucial. It involves carefully evaluating the coverage and content of data to ensure they meet risk management needs effectively.

In the context of compliance and anti-money laundering (AML), effective management of PEPs is both a regulatory requirement and a critical priority.

Politically Exposed Persons are individuals who hold or have held prominent public positions, such as heads of state, government officials, high-ranking judicial, military, and administrative figures, executives of state-owned enterprises, and their family members or professional associates. Their positions make them potentially vulnerable to involvement in corruption, money laundering, and other financial crimes.

From a regulatory perspective, however, there is no universal definition.

Definitions of PEPs can vary significantly based on national regulations, meaning that not all PEPs in AML databases are identical or contain the same information. Therefore, it is crucial to identify differences between various PEP datasets by thoroughly examining the scope and quality of data. This ensures that the information aligns with specific risk management and regulatory compliance needs.

SGR’s database is designed to:

• Align with international guidelines and adapt to local regulations
• Structure information to reduce false positives and facilitate analysis
• Identify connections between different datasets: Adverse Media, Local Politicians, Sanctions, Watchlists, Whitelists, etc.

Our PEP dataset

1. What does focusing on local regulations mean?

Local regulations play a key role in managing PEPs and are carefully integrated into our processes:

1. Understanding local regulations
Each jurisdiction may have specific requirements regarding PEP management. Adapting our processes to local regulations is crucial to ensure compliance and accuracy in risk management. For instance, in Italy, SGR identifies political figures as specified by Italian legislative decree, which might not be captured without our local focus.

2. Visibility on potential hidden risks
Operators gain insight into potential risk factors related to individuals that might not be visible if accessing a database without local focus.

3. Adapting Processes
Our systems and procedures are reviewed to ensure they are aligned with local regulatory changes.

SGR’s approach has garnered attention from Chartis Research – a global leader in Risk Technology research and analysis – which discussed the topic in the publication “The Value of Localization in Fighting Financial Crime.” The white paper highlights the importance of SGR’s approach in combining global coverage with a local focus and the value of localization in combating financial crimes.

> Download the document.

2. Why does more structured data reduce false positives?

Our management of PEPs is based on precise categorization of the database, reflecting differences associated with various roles and functions. Strong data structuring helps to:

1. Reduce false positives: more detailed identifiers and well-organized data enable the application of filters and parameters, making it easier to exclude results that do not match the search criteria, thus significantly reducing false positives.

2. Manage specific risks: operators can apply specific controls and monitoring based on the risk level associated with the PEP category. For example, PEPs involved in strategic sectors such as defense or energy may require more detailed checks compared to PEPs operating in less sensitive areas like education or culture.

3. Facilitate automation and technological integration: structuring and labeling information in the database allow operators to apply custom filters, prioritize according to their policies, and manage data with advanced tools and software.

3. Why is identifying connections with adverse media or other datasets important?

Once a PEP is identified, it is essential to have relevant information to assess their risk profile. Beyond data directly related to the position held, SGR highlights, for example, involvement in legal proceedings for offenses preceding money laundering.

PEPs pose a particularly high risk due to their power to influence policies and manage public funds. They are also more susceptible to corruption and involvement in illegal activities such as bribery, illicit reimbursements, tax fraud, and embezzlement of public funds.

To mitigate these risks, we follow the guidelines of FATF and the Wolfsberg Group, which recommend adopting enhanced controls, including the verification of adverse media to identify potential links to corruption or other illegal activities.

Knowing if a PEP is involved in offenses preceding money laundering is crucial for several reasons:

> Timely risk identification:
Understanding involvement in preceding offenses allows for quick action to prevent further damage and strengthen control measures.

> Money laundering prevention:
Access to information on illegal activities helps prevent money laundering and protects the integrity of the financial system.

> Regulatory compliance:
Reporting PEPs involved in crimes helps meet regulatory requirements, ensuring institutions comply with AML regulations and take necessary measures to mitigate risks.

> Informed decisions:
A comprehensive view of preceding offenses helps better assess the risk associated with a PEP, enabling informed decisions on managing the relationship.

In alignment with these guidelines, our commitment is to closely monitor negative news about PEPs to manage the high risk they represent effectively. Our activities comply with international standards and include comprehensive coverage of all crimes that may precede money laundering and terrorist financing, as established by FATF recommendations and the 6th European Anti-Money Laundering Directive. Additionally, we pay particular attention to organized crime networks and mafia infiltration, as these can pose significant threats and further increase the risk associated with PEPs.