Bureaucratic, micromanaged, sweatshop-like - Editorial Bloomberg Employee Review

3.0
10 May 2022
Recommend
CEO approval
Business outlook

Pros

The benefits are simply outstanding and it's a company that doesn't put up with disrespecting peers, so it's a Stepford Wives vibe where everyone needs to buy into the system; stable employment and almost impossible to get fired (including a direct report -- with years of documented underperformance under several managers -- I was told I had to "manage up" rather than let go); then once managed up was told by my manager it's a shame this person now couldn't be let go. Strange place to work.

Cons

White-collar sweatshop where Mike and his cronies talk a great game about employees getting out and doing community service and having a quality of life and such but really don't; you're subjected to 10+ hour days (the unwritten rule) and pinged on weekends. Need to be a Cool Aid drinker to relish working there. Micromanagement is overboard. Antiquated work tools.

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5.0
11 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Cons

Not really cons, culture is great.

4.0
28 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Opportunities to do lots of work with data and finance to apply knowledge in both programming and Subject-Matter Expertise (SME). Excellent Work-Life Balance (WLB) and extremely welcoming culture. You can reach out to anyone for help or just to talk, and they will get back to you (although management does require more scheduling in advance). Generous compensation (good wage) and benefits, including housing for interns. If you heard the rumors that the Bloomberg Princeton office has a great Bloomberg Pantry (read: company-provided breakfast and lunch), the rumors are true.

Cons

Not the place for those looking for cutting-edge AI. The company is not as fast with AI as the company prioritizes reliability and accuracy above all, and much of AI is not at an acceptable threshold for management to be willing to take that risk with financial data (at least in 2026). You may get a project to automate menial processes, which is really cool, but that tends to involve actually doing the menial processes, which feels unproductive. Princeton office is good but New York is considered preferable. Coworkers are not very reachable outside of work hours. Compensation is low in Data compared to Software Engineers.

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