Document Analyst (Remote)

About the role

The Document Analyst works remotely to review, verify, and analyse a wide range of documents, ensuring their accuracy, authenticity and compliance with regulatory standards. The role supports operational integrity by detecting discrepancies, fraud attempts and procedural gaps.

Key responsibilities

• Analyze and validate data extracted from IDs, proof‑of‑address, financial statements, legal contracts and medical forms.
• Identify sophisticated document fraud such as photoshopped IDs, counterfeit documents and deep‑fake attempts.
• Apply forensic techniques to spot anomalies in security features (holograms, watermarks, micro‑print).
• Handle edge cases involving damaged, non‑standard or foreign‑jurisdiction documents.
• Collaborate with Policy and Product teams to refine annotation guidelines for global document diversity.
• Provide feedback to ML engineers and data scientists on model performance and OCR errors.
• Perform quality checks on annotations and maintain high inter‑annotator agreement.
• Ensure workflows comply with KYC, AML, GDPR and eIDAS regulations.

Required profile

• Minimum 3 years experience in document analysis, identity verification, KYC/AML or data extraction.
• Deep knowledge of global identity, financial and legal documents.
• Proven ability to detect advanced document fraud and biometric discrepancies.
• Familiarity with KYC/AML frameworks and data‑privacy regulations (GDPR, CCPA).

Required skills

• OCR software
• Document verification tools
• Annotation platforms
• Data formats: JSON, XML, CSV

What we offer

• Fully remote work with worldwide reach
• Opportunity to influence AI model training and fraud detection processes
• Collaboration with cross‑functional product and policy teams