Document Analyst – Remote (Worldwide)

About the role

The Document Analyst will review, verify, and analyze a wide range of documents to ensure accuracy, authenticity, and regulatory compliance. 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.
• Apply forensic techniques to detect anomalies in security features such as holograms, watermarks, and microprint.
• 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.
• Provide feedback to ML engineers, create golden datasets, and perform quality checks on junior analysts’ work.
• Ensure workflows comply with KYC, AML, GDPR, eIDAS and other global regulations.
• Identify opportunities to streamline review processes and reduce manual touchpoints.

Required profile

• Minimum 3 years of experience in document analysis, identity verification, KYC/AML operations, or data extraction within fintech, legal‑tech, or AI‑training environments.
• Deep knowledge of global identity, financial, and legal documents.
• Proven ability to detect sophisticated fraud and manipulate techniques.
• Experience with document verification tools, OCR software, and 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