Document Analyst

About the role

The Document Analyst will remotely review, verify, and analyze a wide range of documents to ensure accuracy, authenticity, and regulatory compliance. This role 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 microprint.
• 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 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, trust‑and‑safety, or AI‑training environments.
• Deep knowledge of global identity, financial, and legal documents.
• Proven ability to detect advanced fraud techniques and biometric discrepancies.
• Familiarity with regulatory frameworks such as GDPR and CCPA.

Required skills

• Document verification tools
• OCR software
• Annotation platforms
• JSON
• XML
• CSV