Best financial news organisation but employees poorly valued - Anonymous employee Bloomberg Employee Review

3.0
6 Jan 2016
Anonymous employee
Recommend
CEO approval
Business outlook

Pros

Bloomberg pays the highest salaries in the news reporting business, its hires are all highly competent and opportunities with the company are truly international. It is arguably the most prestigious news agency in the world.

Cons

Everything is overly routinised and one becomes simply a number in terms of performance evaluation and role in the company. There is little room for creativity in writing and emphasis is placed on business / economic reporting rather than journalism. While the hours are good, one is expected to work with their nose to the grindstone during working hours. Everything is tracked in terms of the speed of breaking news, number of pieces published and the number of "clicks" a story receives. One feels like they are reduced to a mere number in terms of performance. This is very different when compared to other new outfits.

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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