Document Analyst (Remote, Worldwide)

About the role

The Document Analyst ensures the accuracy, authenticity and compliance of a wide range of documents used in identity verification, financial onboarding and legal processes. Working remotely, you will support global operations by detecting fraud, validating data and improving document‑processing workflows.

Key responsibilities

• Analyze and validate data extracted from IDs, proof‑of‑address, financial statements, contracts and medical forms.
• Identify sophisticated fraud such as photoshopped IDs, counterfeit documents and deep‑fake attempts using forensic techniques.
• Handle edge cases involving damaged, non‑standard or foreign‑jurisdiction documents.
• Collaborate with Policy and Product teams to refine annotation guidelines and improve AI model performance.
• Provide feedback to ML engineers, create golden datasets, and perform quality checks on junior analysts’ work.
• Ensure all document workflows comply with KYC, AML, GDPR, eIDAS and other relevant regulations.
• Suggest workflow and tooling improvements to reduce manual effort while maintaining security.

Required profile

• Minimum 3 years of experience in document analysis, identity verification, KYC/AML operations or data extraction.
• Deep knowledge of global identity, financial and legal documents.
• Proven ability to detect advanced document fraud and biometric discrepancies.
• Experience with document verification tools, OCR software and annotation platforms.
• Familiarity with structured data formats such as JSON, XML or CSV.
• Strong understanding of KYC/AML frameworks and data‑privacy regulations (GDPR, CCPA).

Required skills

• OCR software
• Document verification tools
• Annotation platforms
• JSON, XML, CSV
• KYC/AML frameworks
• GDPR, CCPA compliance knowledge
• Fraud detection and forensic analysis techniques