Document Analyst (Remote)

About the role

The Document Analyst works remotely to review, verify, and analyze a wide range of documents, ensuring their accuracy, authenticity, and compliance with global regulatory standards. This position supports 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 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 on model performance and contribute to “golden datasets”.
• Perform quality checks on annotations and ensure high inter‑annotator agreement.
• Maintain compliance with KYC, AML, GDPR, eIDAS and other relevant regulations.

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.
• Deep knowledge of global identity, financial, and legal documents.
• Proven ability to detect advanced document fraud and biometric inconsistencies.
• 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 features.