Good place to start, get out as quick as you can - Bloomberg Industries Associate Bloomberg Employee Review

2.0
Aug 21, 2013
Recommend
CEO approval
Business outlook

Pros

Good entry-level place for graduates to learn about finance. People you work with are all quite good and generally easy to get along with.

Cons

Management is ancient - their ideas are from the 80s which is when most of them got to the roles they've stayed in ever since. Standard working hours are 8-6 which is too long given the salary. Expectation is for even longer hours but pointless given lack of available opportunities for advancement and poor bonus for this extra effort. Most people who've been at the company through one annual review realise this and stop. The problem is the turnaround is so high that the new starters all put in much more hours and the process starts over again....

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5.0
Jun 1, 2026
Recommend
CEO approval
Business outlook

Pros

Free food, good salary, incredible Pro Bono opportunities

Cons

Lack of flexibility around RTO policy

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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