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Knowledge at Wharton · September 14, 2026

How AI Is Reshaping Quantitative Finance

FinanceEconomics
THE AI ANGLE
Converting vast unstructured data into quantitative investment signals and automating code generation

Wharton finance faculty and Goldman Sachs' head of data strategy examined how AI is reshaping quantitative finance by transforming vast unstructured text, filings, and alternative datasets into actionable trading signals. The discussion highlights the convergence of systematic and discretionary strategies into 'quantamental' investing and shows how AI is democratizing quantitative analysis beyond specialized coders. For finance and economics educators, this evolution underscores the need to update curricula to prepare students for an industry where all investing incorporates predictive AI modeling and automated data extraction.

THE TEACHING ANGLE
Instructors can explore the tension between systematic algorithms and human judgment by analyzing whether AI's ability to digitize reasoning and process massive textual data complements or replaces traditional discretionary portfolio management.

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