Pseudonymising EDD Files for Politically Exposed Persons – UK GDPR-compliant anonymisation per Money Laundering Regulations 2017

An EDD pack for a politically exposed person (PEP) is the enhanced due diligence file MLR 2017 Regulation 33 requires — covering source-of-wealth evidence and senior management approval. The FCA fined NatWest £264.8 million in December 2021; the NCA received over 901,000 SARs in 2022-23. anonym.legal pseudonymises EDD identifiers so compliance reviewers can assess quality without processing PEP personal data.

When this applies

This task applies when EDD files relating to PEPs are reviewed by second-line compliance oversight, internal audit, or external consultants assessing the adequacy of the firm's enhanced-due-diligence procedures under MLR 2017, and those reviewers require the procedural record rather than the customer's identity.

  1. Upload the EDD file, including any source-of-wealth questionnaire, adverse-media summary, and senior management approval record.
  2. The engine identifies the PEP's name, political office or role, nationality, date of birth, family-member and close-associate references, and any other personal identifiers.
  3. Each individual — the PEP, associated family members, and close associates — is pseudonymised consistently across all documents in the pack.
  4. Source-of-wealth categories, political office type, risk level, approval authority tier, and procedural timestamps remain in clear text.
  5. A reversible mapping table is produced with UK/EU data residency.
  6. Release the pseudonymised EDD pack for oversight review; restore originals before any regulatory submission.

What you provide

  • EDD decision record and approval sign-off
  • Source-of-wealth questionnaire and supporting evidence summary
  • Adverse-media screening summary naming the PEP
  • Senior management approval memorandum

Limitations & cautions

  • The tool pseudonymises personal data in EDD files but does not assess whether the EDD procedure meets the standard required for the specific PEP risk level under MLR 2017 Reg 33.
  • Adverse-media screening must be conducted against the real identity of the PEP; the pseudonymised file is for procedural review only.
  • Family-member and close-associate references are pseudonymised; the procedural rationale for including them as connected persons is preserved. UK GDPR maximum fines reach up to £17.5 million or 4 percent of annual global turnover under DPA 2018 s.157 — restrict PEP file access to those with a demonstrable compliance need.

FAQ

Are close associates and family members pseudonymised separately from the PEP?

Yes. Each individual connected to the PEP is assigned a distinct pseudonym. The relationship label (e.g. 'close associate', 'family member') is preserved to maintain the procedural context.

Can the pseudonymised EDD file be used for regulatory reporting?

No. Regulatory submissions and SAR disclosures require the real identities of individuals. The pseudonymised file is strictly for internal procedural review and training.

How does the engine handle political office titles that may identify the individual?

Political office type is preserved (e.g. 'senior government minister', 'domestic PEP') but the specific role title that would identify the individual may be generalised to prevent re-identification. You can configure the generalisation level before processing.

Does the tool cover former PEPs as well as current ones?

Yes. Former PEP status and the period since leaving office are preserved as procedural context; the individual's identity is pseudonymised in the same way. The JMLSG Guidance Notes confirm that former PEPs may still require EDD depending on residual risk, and MLR 2017 Reg 35 sets out the ongoing monitoring obligations that apply.

Financial Services Compliance

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Read our founder note for how we work.

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We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
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Bad runs block the deploy.

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Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

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Common questions we hear

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A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.