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Financial & Legal Document Analyst

India, Noida · Job Posted May 26, 2026
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Job Description

As a Financial & Legal Document Analyst, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Job Responsibility

  • Source, review, and verify open-source financial documents including SEC filings, investor decks, and complex credit agreements
  • Scrutinize documents for minor errors, logical inconsistencies, and subtle compliance issues
  • Create, refine, and implement clear data taxonomies to accurately classify and organize diverse financial and legal documents
  • Evaluate the performance of automated document retrieval systems and pinpoint areas where they miss critical information or fine print
  • Provide detailed written and verbal feedback on system gaps, using your domain expertise to suggest actionable improvements
  • Maintain meticulous records tracking document sources, classification decisions, and analysis outcomes
  • Collaborate with the customer’s team to share best practices and ensure analysis consistency across high-stakes legal and financial content

Requirements

  • Extensive experience sourcing, reviewing, and classifying financial and legal documentation
  • Deep understanding of public records, regulatory filings, and financial paperwork
  • Exceptional written and verbal communication skills, with an emphasis on clarity and precision
  • Keen analytical abilities and a passion for uncovering subtle discrepancies and compliance issues
  • Expertise in building and applying data taxonomies to complex document sets
  • Strong organizational skills to manage a high volume of technical documents
  • Meticulous attention to detail, ensuring thorough and accurate analysis

Nice to have

  • Background as a Paralegal, Underwriter, Bank Officer, Private Banker, or Tax Auditor
  • Prior experience auditing, navigating, or managing dense compliance or legal records
  • Proven track record of success in document classification or information management within regulated industries

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