Tech IndustryJun 26, 2019
Amazondecidenow1

Quant vs roles in tech?

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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Google sQNX36 Jul 3, 2019

curious too

Bloomberg 7bd92" Jul 3, 2019

How did you become MLE? I'm trying to transition into an ML role at Bloomberg, having completed the internal ML 101 training.

Google sQNX36 Jul 3, 2019

Also my question, do we have many teams in BBG working on ML? Also how’s your ML training? I saw a wonderful BBG ML lecture series on YouTube, so is your training similar that?

Google sQNX36 Jul 3, 2019

Basically curious BBG internal ML training really teaches the industry-level ML stuff or more like school projects?