Data Science/ML roles in Finance vs Tech

Qubole sheetalk
Nov 11 17 Comments

What is preferred between Data Science/ML roles in Finance vs Tech from long term perspective.

Background:
Currently: Pursuing MS in CS (From one of the ivy's)
Dependent on H1B sponsorship after graduation

Couple of intern offers : Both well paying (above normal SWE intern stipends).
First role is Data Science Intern at AI lab of an Investment bank in NYC (mostly NLP related work)
Other is MLE role at good non-FANGM tech company in Seattle.

Pros of Finance offer:
Might be easy to get a return offer
If H1B does not come through after full time, good chance of re-location to other non-US regions.

Pros of Tech offer:
Good learning, latest techniques of applying ML practically and building ML pipelines

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TOP 17 Comments
  • Facebook / Eng if not
    MLE career trajectory is higher.
    Nov 11 10
    • Facebook / Eng if not
      MLEs are strong SWEs with ML knowledge. So yes, pass our SWE interview and do the ML Coursera course and you are all set.
      Nov 12
    • Salesforce peaceguy
      Nice, I am specialising in ML at Georgia Tech - Machine Learning, Deep Learning, Computer Vision. I love the concepts !!
      Have 3 yoe in backend
      Nov 13
    • MLEs are mediocre SWEs with mediocre ML domain knowledge. Also, I think that SWE, in the long run, gives you more possibilities, since MLE at the end of the day is about deploying models.
      Nov 13
    • @Facebook Maybe my experience of MLEs differs greatly from yours, but I personally have more respect towards SWEs who know how to build the infrastructure and DSs who know how to design and train ML models. Sure, you need MLEs just like you need data engineers, but I still think that MLE is made to sound cooler or more demanding than it actually is
      Nov 13
    • Facebook / Eng if not
      Our definition definitely differs. MLEs here know how to do everything you listed.
      Nov 14
  • AllianceBernstein / Data JhYt70
    I am a DS in finance. Go to tech. In finance, you will be either forever second citizen or always behind what tech is doing.
    Nov 11 2
    • Qubole sheetalk
      OP
      Thanks, H1B and work wise? Do you feel you don't work on latest tech stacks and all ? Also, does it matter if the AI lab in finance is pretty selective and takes very few interns every year ?
      Nov 11
    • AllianceBernstein / Data JhYt70
      We use tensorflow and python but nothing compared to latest development from tech. H1B is easy to get in finance, and WLB is also good. You just get treated as second citizen compared to quants with background in FE. Donโ€™t know much about AI lab.
      Nov 11
  • Goldman Sachs / Eng ๐ŸŽ card
    Tech over finance
    Nov 11 2
    • Qubole sheetalk
      OP
      Any specific reason why ?
      Nov 11
    • Goldman Sachs / Eng ๐ŸŽ card
      Cause tech pays more and traditional finance is dying. You can hear major investment bank ceos (including mine) calling the future as coders who can trade rather than traders who can code.
      Nov 12

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