Getting into Quant Research roles after an above average but not excellent CS PhD in applied ML

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Hello all,
Thank you in advance if you ended up reading all of it ^.^, and THANK YOU if you have any advice!

I’m a CS PhD student in my third year, my research is in TinyML for real time systems. I mostly work in C/C++. I’m from UIUC which might be lesser known but is considered a top-5 CS PhD school now.

I have a couple of papers in top systems conferences and expect to get 2-3 more at top real time system conferences ( can get more if I extend my PhD ).

I want to ask how realistic it is for me to break into Quant research space, I’m studying the interview material and brushing up on my leetcode/stats/brain teasers. But I don’t have olympiad medals, math PhD, or went to MIT. I don’t think I’m an elite PhD student( mostly coz I don’t want 10 papers but I do think I can publish them if I REALLY need it ).

I’m quite discouraged by what I read online about it. And I don’t think I fall into most categories that people have posted online about. I’m not elite, but definitely above average(working my way up there!). I have more breadth than depth.

I have published in network science, compilers for probabilistic programming languages, applied machine learning ( 1- paper each I was trying to see what I like) kind of a jack of many fields of CS. Don’t know if it’s the exhaustion of my PhD talking but yeah, not elite, not average.

Should I try for Quant research or Trader roles ? Is it realistic ?
 
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Try for research roles and I'm sure you can get interviews
 
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