Document Analyst

About the role

The Document Analyst is responsible for reviewing, verifying, and analyzing a wide range of documents to ensure accuracy, authenticity, and regulatory compliance. This role supports operational integrity by detecting discrepancies, fraud attempts, and procedural gaps across global document types.

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 using forensic techniques.
• Handle edge cases involving damaged, non‑standard, or unfamiliar jurisdiction documents.
• 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 while complying with KYC, AML, GDPR and eIDAS regulations.

Required profile

• Minimum 3 years of experience in document analysis, identity verification, KYC/AML operations or data extraction within fintech, legal‑tech, trust & safety or AI training.
• Deep knowledge of global identity, financial and legal documents and proven ability to detect sophisticated fraud.
• Familiarity with KYC/AML frameworks, data‑privacy regulations (GDPR, CCPA) and industry standards for identity verification.

Required skills

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