PEP and Sanctions Screening

Yes. You set the name match type, the close-match threshold and how far secondary identifiers such as date of birth, gender, nationality and ID number narrow the results, so weak coincidental matches are filtered while genuine hits still surface.

Both. Screen one customer at onboarding through the API for a sub-second response, or upload the whole book as a CSV or XML batch file. Both paths use the same lists and the same matching logic.

Yes. Entities you add to the monitoring list are re-screened daily, so a previously cleared customer is reviewed again when a new listing or a profile change affects them. Paused and removed entities stop being checked.

Yes. A PEP jurisdiction policy includes or excludes PEP and close-associate profiles by country, which is how firms filter domestic politically exposed people when their risk picture does not require them. The setting is configured by your Compliance Officer.

Yes. Enter an email address with the individual and the result adds a list of known data breaches for that address — supplementary intelligence, not a regulatory KYC requirement.

MemberCheck screens against over 1,000 sanctions, PEP, and watchlist sources, refreshed on a 24-hour cycle, covering 195 countries. The full list of covered lists is visible to your team in the List Access screen.

FATF Recommendation 12 splits PEPs three ways: foreign PEPs holding a prominent public function in another country, domestic PEPs holding one at home, and people entrusted with a prominent function by an international organisation. Jurisdictions apply the categories differently, so a customer in scope in one country may not be in another.

Yes. A PEP's family members and close associates are screened as part of the same check, because they are the obvious route for holding assets at one remove. Former PEPs and Profiles of Interest carry the same related-risk logic after office.

Screening covers the major consolidated regimes — OFAC, the United Nations Security Council, the European Union and HM Treasury — alongside law-enforcement, regulatory-enforcement and national lists. Coverage by country is set out on the country coverage pages.

Close name matching uses phonetic algorithms and fuzzy search on Latin names, and an Original Script Name field takes Arabic, Cyrillic, Chinese, Korean or Japanese text directly, since transliterated names rarely match character for character. Secondary identifiers narrow what remains.

A regulator asks what was screened, what matched, what the analyst concluded and on what evidence. Each match keeps its source list, score, the identifiers used, its assignee and the decision that closed it, so the record answers the question without reconstruction.

Yes. Settings can be preset per organisation or suborganisation and left user-defined for authorised staff, so the threshold follows the segment's risk instead of one average across the whole book. A single threshold either buries analysts in noise or sets the bar too high.