Remote Document Analyst – Identity Verification & Fraud Detection

About the role

The Document Analyst works remotely to review, verify, and analyze a wide range of documents – from government IDs to financial statements – ensuring accuracy, authenticity, and regulatory compliance. You will support operational integrity by detecting fraud, validating data, and providing feedback to improve automated verification systems.

Key responsibilities

• Analyze and validate data extracted from IDs, proof‑of‑address, financial and legal documents.
• Identify sophisticated fraud attempts, including photoshopped IDs, counterfeit documents, and deep‑fake verification.
• Apply forensic techniques to detect anomalies in security features such as holograms, watermarks, and micro‑print.
• Handle edge cases involving damaged, non‑standard, or foreign‑jurisdiction documents.
• Collaborate with policy and product teams to refine annotation guidelines and improve model performance.
• Perform quality checks on annotations and maintain high inter‑annotator agreement.
• Ensure workflows comply with KYC, AML, GDPR, eIDAS and other global regulations.
• Suggest process improvements to reduce manual effort while preserving accuracy.

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.
• Familiarity with regulatory frameworks such as GDPR, CCPA, KYC and AML.

Required skills

• OCR software and document verification tools.
• Annotation platforms for data labeling.
• Data formats: JSON, XML, CSV.
• Forensic analysis techniques for security feature inspection.
• Understanding of KYC/AML frameworks and data‑privacy regulations.