Roles in tech vs quant

Amazon decidenow1
Jun 26 13 Comments

I worked at both Amazon and Bloomberg as SDE and I have lots of passion and experiences with machine learning (so basically I’m MLE).

I’m strong and interested in both engineering/CS and math/stats, and my career goal is certainly to bring these two together.

So for career development, I could choose continue in tech, or becomes quant at financial industry.

Continue in tech: I’m familiar with everything (work culture, skills, interview tips ), and no further input, and I could be either MLE or data scientist.

Switch to quant: Get more different life experiences, and I’ll gain lots of financial domain knowledge (lacks in tech, and I think domain knowledge and soft skill can make a difference for promotion in long-run). Also pay upper limit will be much higher at top funds?

But this is whole new field, means More input such as getting a new MFE degree? Also heard quite competitive and more stress ?

Thx for any suggestion!

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TOP 13 Comments
  • Amazon crypto*
    Tag Two Sigma , Citadel, Google to get inputs from those folks
    Jun 26 4
    • Google sQNX36
      Why google?
      Jul 3
    • Amazon crypto*
      Because there are people in Google who have worked at Two sigma and can give a good perspective of both sides.
      Jul 3
    • Google sQNX36
      Thx! But do you indicate two sigma has high bar and only target on google employee?
      Jul 3
    • Amazon crypto*
      I don't indicate that. They do hire lot of people from Google/FB is what I have seen on Blind
      Jul 3
  • T. Rowe Price iYfv15
    Traditional quants use a lot of math and heuristics, a lot of which aren’t really working anymore; hence the push towards Machine Learning as the models are more accurate and dynamic. A lot of quants will want to tell you that they’re really doing ML because they run a regression sigh...anyways, without getting too much into the weeds, instead of focusing on the field focus on a skill set. For eg ML is applicable across industries. If you’re trying to learn finance, take classes or something, becoming a quant will hardly help with that: actually working on the research side will teach you a lot, but that usually requires a PhD and you’ll work with people that write crappy code and try to do ML. A major drawback in finance that a lot of folks fail to realize is that you cannot trade your own account...unless you’re doing crypto.
    Jun 26 0
  • E*Trade / Finance cbEV72
    What is it that you are asking? Quant was what ml is today. So I don’t see a reason to become a quant pursuing jobs. Today you do quant because you like it, and some people do.
    Jun 26 3
    • Amazon decidenow1
      OP
      Quant was what machine learning is today? But quant requires a lot of financial domain knowledge right?
      Jun 26
    • Susquehanna International / Eng Kristaps11
      No one gives a shit if you know anything about finance lol
      Jun 26
    • E*Trade / Finance cbEV72
      It depends. Quant is a broad designation. If you’re a derivative pricing quant then knowledge of stochastic calculus and it’s application to markets is necessary as well as knowledge of instruments. There are other quants where you need domain knowledge. I’m assuming there areas where the domain knowledge is not necessary but I’m not interested in them, I’m a finance guy. Also there are quant developers they’re not the same as quants
      Jun 26
  • Susquehanna International / Eng Kristaps11
    The MFE won’t hurt but it won’t help as much as you’d like. A master’s in stats from a top school will help more but also not as much as you’d like.
    Jun 26 0
  • New WHzS36
    Market is very saturated with new MFE grads these days. Go for a Stats degree if you need to upgrade your edu.
    Jun 26 1
    • Amazon decidenow1
      OP
      Ok thx. What about financial mathematics? Actually MFE/financial math/stat sounds quite similar to me
      Jun 30