Responsibilities
Seed AI models with finance-related datasets derived from real-world financial artifacts, including incomplete spreadsheets and ambiguous documents.
Curate and structure messy financial datasets to support robust AI training workflows.
Collaborate with finance professionals to gather, analyze, and normalize diverse financial data sources.
Provide written and verbal feedback to guide model development and improve interpretation of complex sponsor scenarios.
Participate in iterative data seeding and structuring processes across evolving project workflows.
Evaluate how AI models interpret, reconstruct, and extend partially structured financial documents.
Apply domain expertise to inform AI training strategies involving financial sponsor and deal-related data.
Requirements
Strong written and verbal communication skills with the ability to explain complex financial concepts clearly.
Professional experience working with financial data, spreadsheets, or financial artifacts.
Comfort organizing and interpreting messy, incomplete, or unstructured financial datasets.
Familiarity with finance workflows, terminology, and sponsor-related financial scenarios.
Strong analytical mindset with the ability to evaluate ambiguity and provide constructive feedback.
Ability to work independently and collaborate with distributed teams in remote environments.
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