Document Analyst

Odixcity Consulting; La Réunion; Sur place; EUR 42 000 - 65 000; Plein temps

Résumé du poste

Odixcity Consulting seeks a meticulous Document Analyst to review, verify, and analyze diverse documents for accuracy, authenticity, and regulatory compliance. You will identify discrepancies, assess risk, and help improve data integrity across global workflows.

Remote worldwide, you will collaborate with Policy and Product teams, provide feedback to ML engineers, and help tune annotation guidelines to cover evolving fraud vectors, ensuring high-quality outputs and compliance with GDPR, AML,

Qualifications

• 3+ years in Document Analysis or KYC/AML operations in fintech, legal tech, trust & safety, or AI training sectors.
• Deep knowledge of global identity documents, financial documents, and/or legal documents.
• Proven ability to identify sophisticated document fraud, forgery indicators, and biometric discrepancies.
• Experience with document verification tools, OCR software, or annotation platforms; familiarity with JSON/XML/CSV for structured output.

Responsabilités

• Analyze and validate data extracted from documents (IDs, proof of address, contracts, financial statements) to ensure accuracy and completeness.
• Identify document fraud and spoofing attempts using forensic analysis techniques (holograms, watermarks, microprint).
• Handle edge cases with damaged or unfamiliar jurisdiction documents; determine validity and data interpretation.
• Collaborate with Policy and Product teams to refine annotation guidelines for global document diversity and fraud vectors.
• Provide structured feedback to ML engineers and data scientists on model performance and errors.
• Perform quality checks on annotations and verifications, maintaining high inter-annotator agreement and regulatory compliance.
• Ensure document processing workflows comply with GDPR, AML/KYC, and eIDAS.
• Identify opportunities to streamline review workflows and tooling.

Connaissances

Document analysis

Fraud detection

KYC/AML knowledge

Research skills

Data interpretation

Outils

OCR software

Annotation platforms

Description du poste

Job Title: Document Analyst
Location: Remote (Worldwide)
Job Summary: The Document Analyst is responsible for reviewing, verifying, and analyzing documents to ensure accuracy, authenticity, completeness, and compliance with organizational policies and regulatory standards. This role supports operational integrity by identifying discrepancies, validating information, and assessing documentation for potential risk, fraud, or procedural gaps.

Responsibilities

• Analyze and validate data extracted from a wide variety of documents, including government-issued IDs, proof of address, financial statements, legal contracts, and medical forms. Ensure extracted fields (name, date, document number, etc.) are accurate and complete.
• Identify sophisticated document fraud, including photoshopped IDs, counterfeit documents, and deepfake verification attempts. Use forensic analysis techniques to spot anomalies in security features (holograms, watermarks, microprint).
• Handle complex edge cases where documents are damaged, non-standard, or from unfamiliar jurisdictions. Use research skills and domain knowledge to make accurate determinations on document validity and data interpretation.
• Collaborate with Policy and Product teams to create, test, and refine annotation guidelines account for global document diversity and emerging fraud vectors.
• Provide structured feedback to machine learning engineers and data scientists on model performance. Identify systematic errors in OCR or data extraction and contribute to “golden datasets” used for model training and evaluation.
• Perform quality checks on document annotations and verifications completed by junior analysts or automated systems. Maintain high inter-annotator agreement (IAA) and ensure compliance with regulatory requirements.
• Ensure document processing workflows comply with global regulations, including KYC (Know Your Customer), AML (Anti-Money Laundering), GDPR, and eIDAS (Electronic Identification and Trust Services).
• Identify opportunities to streamline document review workflows, improve tooling, and reduce manual touchpoints without compromising accuracy or security.

Requirements

• Minimum of 3 years of experience in Document Analysis, Identity verification, KYC/AML Operations, or Data Extraction within fintech, legal tech, trust & safety, or AI training sectors.
• Deep knowledge of global identity documents (passports, driver’s licenses, national IDs), financial documents (bank statements, pay stubs), and/or legal documents (contracts, incorporation papers).
• Proven ability to identify sophisticated document fraud, including manipulation techniques, forgery indicators, and biometric discrepancies.
• Experience with document verification tools, OCR software, or annotation platforms. Familiarity with data formats such as JSON, XML, or CSV for structured data output.
• Strong understanding of KYC/AML frameworks, data privacy regulations (GDPR, CCPA) and industry standards for identity verification.