Breaking into Quant work as math PhD. What are my options?
I feel like every year some post like this pops up. Guess it's my turn now.
Background: Ugrad from top state school in math, doing PhD at low/mid state school. Coursework involves measure theoretic probability, (real)analysis, diff/alg geo, diff/alg top, horological algebra, ring theory, ML, already have some software package written out and downloadable. Research is focused on applied/computational topology
A postdoc seems like it could be achieved, but I don't wanna commit to an academic route with less payoff. So I want to focus on having a desirable skillet for industry.
For quant trading, I believe I have the desired skill set when applying (maybe not the academic prestige LOL). But for quant research, my glaring weakness is in statistics.
Does my background make me a competitive candidate for any firm that does quant trading/research or am I just perma-mogged by the T10 ugrads that get on campus interviews? Is there anything I should focus on upskilling besides improving stat knowledge and interview prep? What's something that I'm not considering? Is there a path forward?
Appreciate any comments or feedback on this would be great. Also welcome any flame for my own personal ignorance. Thanks!
Also forgot to mention the coursework in stochastic processes. That feels pretty relevant
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