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Metro location, recognizable employer, and mid-level experience increase applicant competition moderately.
Role demands finance-specific knowledge and annotation experience for market intelligence, limiting cross-industry transferability.
Requires MBA in Finance, finance domain expertise, and 2+ years annotation experience, so filters are stringent.
Own curation, structuring, and benchmarking of complex financial datasets to fine tune large language models (LLMs).
Evaluate AI model outputs and diagnose complex behaviors, serving as subject matter authority alongside AI Research Engineers.
Establish data guidelines and validation frameworks ensuring accuracy for production-ready Generative AI features, and drive tool pipeline innovation to improve annotation workflows.
MBA in Finance or related field plus undergraduate degree in Finance, Accounting, or Commerce (B.Com/M.Com/BMS/BBA).
Minimum 2+ years of professional experience in financial research, data annotation, or financial data operations.
Strong understanding of financial statements, corporate filings, earnings calls, and capital market dynamics.
Proficiency with workspace tools such as G Suite and MS Excel/Office.
Experience managing complex financial data projects with an absolute zero defect standard and strategic rigor.
Capable of translating domain-specific financial nuances into actionable insights for engineering and research teams.
Comfortable working in a fast-paced environment, independently and collaboratively, with clear communication on technical and financial edge cases.