Machine learning teams at Bloomberg

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yummyfoodi

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yummyfoodi
Oct 12, 2019 15 Comments

Heard the major ML/NLP forces at Bloomberg is News/AI teams. I’m wondering for the huge financial analytics teams(portfolio, MARS, derivatives, pricing, mortgage, blabla), they would deal quite lot with math/quant, so do they also invest in ML/NLP?

Anyway any recommendation of other ML/NLP teams (in addition to News/AI)?

Thanks.

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TOP 15 Comments
  • Bbg has been playing with ML for a while now. Oldest repo I found dates from ~2010 and they use it for triaj and infosec in addition to what you mentioned. Blaw also works on a lot of ML. But the question.. why take a pay cut to come here? I thought everyone hated this company?
    Oct 12, 2019 7
    • Bloomberg is not a trading shop. We host a trading platform, we do pricing, we do research, settlements and compliance, we give you tools but we don't trade. And our biggest clients usually don't trade that often either. ML on news makes sense to gauge on how the stock moves, but once you have a number, statistics works just fine. For when we are the news, the score is something the editors put in. And we are the news for a lot of things. That's why it makes sense for some to trade in the terminal.
      Oct 12, 2019
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      yummyfoodi

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      yummyfoodi
      OP
      Thanks! I guess News/AI team is super competitive to get in. Will they hire new people at internal job fair?
      Oct 12, 2019
  • The major ML/NLP forces in Bloomberg are News, BLAW, ADSK and Global Data.
    Oct 12, 2019 3
    • Yes you can. But usually people want to go the othet way around, since Engineering is were the hype is.
      Oct 14, 2019
    • Google
      yummyfoodi

      Go to company page Google

      yummyfoodi
      OP
      Thanks! I guess those quant teams also intensively apply programming esp ML, though they most come from math background? Also shouldn’t quant teams have much higher bar given they are mostly PhD?
      Oct 14, 2019
  • How should one prepare for Bloomberg phone interview? Are the questions as difficult as asked by FAANG? Does solving problems from leetcode help? Any other tips / tricks?
    Oct 16, 2019 1
  • Lol
    Oct 12, 2019 0