Vinesh Jha: Turning Data Into Alpha
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In this episode of Selling Signals, we're joined by Vinesh Jha, CEO of ExtractAlpha and former quant researcher at Morgan Stanley's PDT, to explore how quantitative data products are developed, validated and commercialised.
Drawing on ExtractAlpha's new AI Earnings Transcript Model, Vinesh explains how his team identifies predictive opportunities, builds investment signals and differentiates its research from what hedge funds can develop internally.
We also get into the commercial realities of selling to funds: how they evaluate external signals, why research transparency matters, how ExtractAlpha structures trials and what vendors routinely get wrong when bringing datasets to market.
We finish by discussing how AI is changing the economics of quantitative research and allowing vendors to evaluate more potential sources of alpha.