Grinding, tough, rewarding, blame-based, top-heavy place with superiority/inferiority complex, extremely high standards. - Senior Editor Bloomberg Employee Review

4.0
1 Mar 2015
Recommend
CEO approval
Business outlook

Pros

You can learn about everything, have access to incredible resources, mix with a uniquely multicultural and multinational crowd, work overseas, move around in the company to diverse jobs, move markets, get excited, break news, have access to newsmakers, be a big-foot on Wall Street, take in-house classes on finance and using the technology, make very good money with superb benefits.

Cons

Core business is grind-it-out wire service, little room for a writer, top-heavy management engaged in relentless political infighting, a culture of blame and finger-pointing and general terror, no job security, very long hours and expectation of 24/7 on-call, general disregard for employees state of mind, terrible work-life balance, fast talkers often reap the rewards, company constantly changes direction, decisions poorly explained to staff.

Explore other reviews about Bloomberg

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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