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    Global Politically Exposed Persons (PEP) Datafeed

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    Sold by: Trademo 
    Deployed on AWS
    This extensive global Politically Exposed Persons (PEP) dataset offers detailed information on individuals who have undergone PEP screening and are listed on international PEP lists by various official authorities. Businesses can use this dataset to identify PEPs, their Relatives, and Close Associates (RCAs), enabling them to assess whether their partners are considered high-risk for activities like bribery, money laundering, or corruption.

    Overview

    ABOUT THE DATA:

    This extensive global Politically Exposed Persons (PEP) dataset provides detailed information on individuals who have undergone PEP screening and are listed on international PEP lists by various reputable authorities. Businesses can use this dataset to identify PEPs, their Relatives, and Close Associates (RCAs), enabling them to assess the risk of involvement in activities such as bribery, money laundering, or corruption.

    KEY DETAILS:

    Number of Lists Included: 180+ Global PEP Lists

    Active PEP Entity Records: 955,000+

    Geographic Coverage: 105 Countries

    Industry Coverage: All

    DATA SOURCE:

    Official authorities such as DOS-US, DOT-US, EU Financial Sanctions, and others

    Update Frequency: Every 4 hours

    The dataset includes both historical and current sanctions information, accurate as of the date of the announcement.

    Some of the covered lists include:

    List of Ministers

    -Members of Parliament

    -Members of the Cabinet

    -Top Officials of International Organizations

    -Judges

    -Political Party Members

    USE CASE OF THIS DATA:

    -Regulatory Compliance: Compliance with anti-money laundering (AML) and counter-terrorism financing (CTF) regulations is essential for businesses, especially financial institutions. Regulatory authorities often require institutions to conduct due diligence on PEPs to prevent financial crimes.

    -Risk Management: PEPs, due to their positions in government or public office, might have an increased risk of being involved in corruption, bribery, or illicit activities. Screening against PEP lists helps businesses assess and mitigate these risks when engaging with such individuals or entities.

    -Enhanced Due Diligence (EDD): Conducting EDD is crucial for businesses when dealing with PEPs. It involves a deeper investigation into the backgrounds and financial activities of these individuals to ensure transparency and integrity in business dealings.

    -Customer Onboarding and Monitoring: Businesses, especially those in banking, finance, or real estate, need to screen customers or clients against PEP lists during the onboarding process. Continuous monitoring helps detect any changes in status that might pose risks during the business relationship.

    -Preventing Financial Crimes: PEPs might be susceptible to exploitation for money laundering, bribery, or other financial crimes due to their influential positions. By screening against PEP lists, businesses aim to prevent unwitting involvement in such illegal activities.

    -Cross-Border Transactions & Investments: In international business transactions or investments, screening against PEP lists becomes crucial to ensure compliance with various jurisdictions' regulations and prevent exposure to legal risks.

    ABOUT TRADEMO

    Trademo is Built by gathering billions of data points and utilizing big data, machine learning, NLP, entity resolution, and graph databases to clean, enrich, and analyze unstructured data to obtain detailed insights on more than 50% of global trade by dollar value, Trademo serves as a single source of truth for global supply chains.

    Please contact  dm@trademo.com  for further information or to obtain a customized dataset.

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    Global Politically Exposed Persons (PEP) Datafeed

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    Global PEP Dataset
    All historical revisions
    All future revisions
    Not included
    Not included

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