Document Analyst (Remote)

About the role

The Document Analyst ensures that all incoming documents are accurate, authentic, and compliant with global regulations. Working remotely, you will support operational integrity by detecting discrepancies, validating data, and mitigating fraud risks.

Key responsibilities

• Analyze and validate data from IDs, proof‑of‑address, financial statements, legal 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 or non‑standard documents from diverse jurisdictions.
• Collaborate with Policy and Product teams to refine annotation guidelines and improve model performance.
• Provide feedback to ML engineers, create golden datasets, and perform quality checks on annotations.
• Ensure workflows comply with KYC, AML, GDPR, eIDAS and other regulatory frameworks.
• Suggest process improvements to reduce manual effort while maintaining security.

Required profile

• Minimum 3 years 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 inconsistencies.
• Experience with document verification tools, OCR software or 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
• Data annotation platforms
• JSON, XML, CSV
• Forensic analysis techniques for security features