Quant researcher resume help please

I’d love a review and some feedback on my resume & cover letter for a quant researcher position. I do plan on customizing them, especially the cover letter, per application.

Too new to link, but here’s the URL, just replace ? with . imgur?com/a/rBSKzGY

For background, I’m ~40 and I earned BS/MS in CS 15-20 years ago. After that I was a semi-notable pro poker player until poker’s Black Friday in 2011. Went back for the PhD, started beating casinos on the side to make money and turned that into an even better career as well as a dissertation in computational game theory. Coronavirus got me looking into other careers and now I’m pretty excited about being a quant researcher at a prop shop or hedge fund.

Sometimes I’ve gotten conflicting information about resume structure (e.g. objective vs no objective, courses vs. no courses) and it can also be difficult to assess the relevance of things I did 15+ years ago that would “for sure” go on a 22-year-old recent graduate’s resume. I didn’t do IMO or Putnam but I did win a fairly notable STEM national championship in high school and that’s on my resume. Some ICPC but my team never went to world finals. Tons of other academic and service awards, scholarships, invited talks, what I actually did while being president of organizations, etc. that I could mention but don’t think I should for age & space reasons.

The schools I went to are big public tier 1s, but not targets by any stretch of the imagination. There is another school I went to that I did not mention on my resume. I took a year of classes and then dropped before going into poker. It is a well known “top 10” type international STEM school, but I’m not sure if I should mention it.

Seems like machine learning is a buzzword, but I’m not sure if I can/should mention it. The only thing I’m experienced with is genetic algorithms, which seem to only be a tiny part of modern machine learning. I don’t mind being grilled on GAs, but if I put machine learning down and get hit on other areas like neural networks or more general machine learning terms & concepts that would be bad. Should I leave things the way they are now with respect to genetic algorithms or should I try to mix in machine learning as well?

My rough draft first list of places to apply at includes 3Red, AQR, CTC, Citadel, DE Shaw, DRW, Hudson River, IMC, Jane Street, Jump, Optiver, Point72, Renaissance, SIG, and Two Sigma. Any suggestions about other places I should consider looking at?