About this episode

Eric Mannes discusses the challenges of transforming alternative data into reliable datasets for trading strategies.

"Alternative data" is Wall Street's name for information that comes from non-traditional sources: satellite photos of parking lots, credit card panels, weather forecasts. Eric Mannes has spent over a decade at Jane Street, first as a commodities trader and now helping lead the firm's alternative data team. In this episode, Eric and Ron talk about what it takes to turn messy external data into datasets a trading strategy can rely on. Along the way, they cover the day oil futures settled at a negative price and the systems that broke as a result; the years when the commodities desk's risk system was one very large Excel spreadsheet; the hard question of what a company even is; and why better ML models raise the value of careful data engineering.

People in this episode

Host: Ron

Guest: Eric Mannes

Topics covered

• alternative data
• trading strategies
• commodities trading
• data engineering
• machine learning

Mentioned in this episode

Organizations: Jane Street

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