Terrible Management & Non-Existent Job Mobility - Editor Bloomberg Employee Review

1.0
6 Apr 2023
Recommend
CEO approval
Business outlook

Pros

Snacks, kudos of working there and the range of work is interesting.

Cons

Performance reviews are not transparent and yours will depend entirely on if your manager a) likes you and b) has a relatively normal and healthy sense of a work-life balance. Progression options are limited with mobility really difficult (people sit in the exact same jobs for 15+ years for a reason) and if your manager gives you a poor review simply because they don't like you then you'll be blocked from applying for other internal jobs for 18 months at a time. Similarly, completely unsuitable people are promoted to senior positions simply because the Chief Content Officer favours them (not because they're actually qualified) while others are overlooked and get trapped in the same jobs for decades, becoming unemployable elsewhere because they haven't progressed. Hours are also long, inflexible and you'll have very little control over your finish times and will frequently be expected to work evenings and weekends.

Explore other reviews about Bloomberg

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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