Trading tech/Quant Career path

So, with IB and most other FO roles, there seems to be many cookie cutter career paths that you can easily search. However, I cannot seem to find anything for a career paths in the trading tech/quant strats. If say you were to get an internship in one of these type of roles during undergrad (think two sigma, DE Shaw, Millennium, Citadel, Point72), what kind of roles/jobs would you expect one after the other (grad then say 3-5 years then 10+ years)?

I assume it's still pretty wide open because of the nature of technology, but im curious nonetheless.

 
Best Response

Unlike the traditional IB->PE->business school->hedge fund path you read about a lot here, if you're doing well in quant finance, you don't really need/want to move at all. Occasionally you see people move from one firm to another, but that's usually only if they have some compelling reason to (they hate their manager at the old firm, the new firm is paying above market rate for experienced talent to build its desk in x product, etc.). That being said you have decent "exit ops" if you wanted them, but largely less in finance--the data/software skillset you acquire is in large demand at tons of companies now days. But if you're doing well, your firm will compensate you extremely well and there's no better "track" to be on.

Within the firm if you stay a while it really depends firm-to-firm. Some are more hierarchical in nature but some are flatter.

 

You could just go up the ranks on the desk the same way a non quant trader would. PM or strategist just with quant methods. Exit ops can be pretty much anything. A math and programming skill set is probably the most versatile foundation to have across all industries right now. Any fin tech startup would need people like that.

 

I would recommend you check out wilmott.com. It's a lot more useful if you're into quantitative stuff.

Anyways, here are a few observations from when I went through FT recruiting last semester: There are 2 kinds of quants. Support quants who build models that provide analytics to traders, PMs e.t.c, and Front Office quants, who build algorithms that trade or use quantitative analysis to form discretionary trading judgments. The latter, which it seems you're more interested in, usually require either advanced knowledge of CS algorithms, a phd in a quant field, or extremely good math skills. If you leverage your math skills and show sufficient interest in finance, it should be possible.

Also, can't go wrong with Joshi and Wilmott. Just wanted to throw thisone more book into the mix if you haven't read it already. Since you want to do trading, I think it might be useful.

 

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