Using Data to Manage Risk with Henry Stott

In this episode of Because of Bitcoin, Mauricio Di Bartolomeo dives into the world of data-driven decision-making and risk analysis with Henry Stott. Henry’s career includes helping Tottenham Spurs with data-driven player selection, pioneering risk analysis models, and flagging FTX as a high-risk exchange months before its collapse. Learn how data transparency in digital assets can revolutionize risk management and why algorithms consistently outperform human experts in decision-making.

Key Topics Covered:Henry’s Career Journey: From a dairy farm in Cheshire to data-driven innovations in finance, sports, and crypto.Algorithms vs. Experts: Why machines are increasingly surpassing humans in complex decision-making.Transparency in Blockchain: How on-chain data enhances risk assessment compared to traditional finance.Spotting FTX’s Risk: Agio Ratings’ innovative approach to identifying high-risk digital asset exchanges.Ledn’s A- Rating: What this top-tier credit rating means for the company and its clients.

Quotes to Remember:"Algorithms beat experts by being consistent, data-driven, and free of emotional biases." — Henry Stott"Transparency in digital assets opens doors for data integration that traditional finance lacks." — Henry Stott"Risk ratings may not make headlines, but they protect participants from pitfalls." — Mauricio Di Bartolomeo

Links and Resources:Agio Ratings Evolution of Counterparty RiskLedn’s A- Risk Rating AnnouncementFollow Henry Stott on LinkedInSubscribe to Because of Bitcoin at Ledn.io

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