Document Analyst (Remote)

About the role

The Document Analyst will review, verify, and analyze a wide range of documents to ensure accuracy, authenticity, and compliance with regulatory standards. Working remotely, you will support operational integrity by detecting discrepancies, fraud, and procedural gaps across identity, financial, and legal documents.

Key responsibilities

• Analyze and validate data extracted from IDs, proof‑of‑address, financial statements, contracts, and medical forms.
• Identify sophisticated document fraud, including photoshopped IDs, counterfeit documents, and deep‑fake attempts using forensic techniques.
• Handle complex edge cases such as damaged or non‑standard documents from unfamiliar jurisdictions.
• Collaborate with Policy and Product teams to create and refine annotation guidelines for global document diversity.
• Provide feedback to ML engineers on model performance and contribute to “golden datasets” for training.
• Perform quality checks on annotations and ensure high inter‑annotator agreement.
• Maintain compliance with KYC, AML, GDPR, eIDAS and other relevant regulations.
• Identify workflow improvements to reduce manual touchpoints 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 sophisticated document fraud and biometric discrepancies.
• Experience with document verification tools, OCR software, or annotation platforms.
• Familiarity with 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