Interesting job but very demanding with long hours - TV News Producer Bloomberg Employee Review

3.0
Feb 13, 2024
Recommend
CEO approval
Business Outlook

Pros

^ Great place to understand finance and meet very interesting, smart people. Interesting job (you will never get bored!) ^ Great networking opportunity & exposure to the industry, you can learn how to invest :) ^ Amazing offices & cool pantry with free food ^ Taxi/ubers to work if you start very early ^ Great medical benefits (one of the bests among finance companies) ^ Good salary if you do 10h work (often you have to work 10+ / overtime for which you won't be paid) ^ Overall, a good company to work for. They will take care of you if you join them.

Cons

^ High-pressure, stressful job that can take toll on your health ^ High staff turnover (not everyone can take the pace) ^ Very long hours; no work-life balance, easy to burn out ^ Big company politics ^ Constant change ^ Takes a certain personality and a bit of politics to get promoted… ^ Inflexible across many areas: work hours, how things are done ^ You’re often just a number

Explore other reviews about Bloomberg

5.0
Apr 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Great culture, benefits, pay, and work-life balance

Cons

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

4.0
Jun 28, 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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