I wanted to get a sense of what the upside potential is for engineers/quants/traders at the various trading firms (e.g., JS, HRT, DesCo, Jump, Citadel). I'll start: Two Sigma for engineers seem to be fairly limited, with TC on par or maybe just above FAANG. Quant/research is a little unclear, but seems far from the "eat what you kill" upside potential. #citadel #deshaw #janestreetcapital #point72
Same
Jump for SWE, especially in trading teams, is pretty good, TC is comparable to quant
How do they measure SWE's impact? Is it e.g., how much $ you saved the firm by making X faster, or is it more subjective? Also, TC progression if you don't mind me asking?
More subjective.
Unlimited (upside and downside)
Anyone from jump down to chat? I wouldn't mind picking someone's brain, have been approached by recruiters there in the past, and the culture sounds like a much better fit for me.
What's the best and worst year you've had (relative to expected bonus)? How does personal, team and firm performance correlate?
For Quant roles specifically, the "eat what you kill" structure, e.x. Jump, Tower, etc. are higher variance, which in part means higher upside. If you join a smaller team it's almost like joining a startup in the amount of impact you can have and the responsibilities you take on.
Are you in such a role? How has it turned out and is it stressful?
I myself am not. But in terms of stress or work-life balance it depends a lot on the team and the individual. Most people who chose such a firm did so because they wanted to make a large impact quickly. They're self-motivated and work hard more because they enjoy the work and results and less because of managerial pressure or anything.
Three types of technical roles in FO at DESCO: quants, developers, and hybrids. Quants come up with specific forecasts and developers build the tools/systems/optimizers that enable and govern the system. Upside for each is significant and largely uncapped though direct pnl attribution typically reserved for quants and trader/analysts (the direct ties to returns and sharpe is where you hear the crazy outlier stories but flip side is not being tied to pnl has its benefits too)
I'm curious about the hybrid roles. I'm from a pure math background but have been working as an AI/ML SWE for many years. At Google, our infra is pretty good, enough so that for the most part people doing modeling or feature engineering can do their own data engineering and mining pretty easily, and we also often productionalize and launch our own models*. I wonder if this sounds like these hybrid roles you describe? I've talked to a few firms about what they call hybrid roles, but from what I've heard so far, these folks are not pursuing their own modeling/ideas, but still relying on researchers for that. (*Of course we do have dedicated infra people as well to build the tools and help optimize things when our changes are too CPU intensive for prod.)
Also specifically curious about Pedro's group if you know any sentiment about it that can be shared. Thanks!
Is that total 3 yoe since graduating? Any ideas if this Tc is possible at a place like citadel also after 3 yoe?
I'm considering switching now 🤔 3yoe at 550k here. Are you an on-desk developer or infra dev?
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