Demanding job but rewards hard workers - Journalist/Reporter Bloomberg Employee Review

4.0
22 Apr 2022
Recommend
CEO approval
Business outlook

Pros

Rewards those who perform well Good salary and benefits Opportunity to work with some of the best in the biz

Cons

No work-life balance. Your on duty 24/7. Promotes constructive paranoia and the competition between colleagues can sometimes reach abnormal levels CEO says he wants to make the company green but disposable cups and food packaging in the ktichens , heated tropical fish tanks with sharks and fresh flowers in boardrooms no matter the season suggests a different reality.

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5.0
22 Apr 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
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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