Using AI to Win Math Competitions

I’ve mentioned in previous articles that learning data science and specializing in data engineering was the best choice I made when I first got started on Wall Street.

Most of the other bankers were studying up on valuation methodologies, learning about industry bottlenecks and opportunities and getting very handy with powerpoint / excel.

I went hardcore Python / SQL because I wanted to mechanically read financial statements and see the entire stock market. I thought it would provide an advantage to build analytic workspaces that had more than just numbers from excel files but also had sentiment from company filings, sentiment from industry analysts via conference call transcripts and research reports paired with sentiment from the “market” using X/Twitter + Reddit conversation data.

Along with 3 partners we launched Throne Capital more than a d…