Document Analyst (Remote)

About the role

The Document Analyst will work remotely to review, verify, and analyze a wide range of documents, ensuring their accuracy, authenticity, and compliance with global regulations. 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 micro‑print.
• Collaborate with Policy and Product teams to refine annotation guidelines for global document diversity.
• Provide structured feedback to ML engineers and data scientists on model performance and OCR errors.
• Perform quality checks on annotations and maintain high inter‑annotator agreement.
• Ensure workflows comply with KYC, AML, GDPR, eIDAS and other regulatory frameworks.

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 advanced fraud techniques and biometric discrepancies.
• Familiarity with regulatory standards such as GDPR, CCPA, KYC, and AML.

Required skills

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

What we offer

• Fully remote work with flexible hours.
• Opportunity to influence AI model training and fraud detection processes.
• Collaboration with cross‑functional teams in a fast‑growing fintech environment.