Highly stressful "big brother" culture, "subjective" reviews, "lifer" management with lack of leadership capabilities. - Sales Representative Bloomberg Employee Review

1.0
Mar 10, 2012
Recommend
CEO approval
Business Outlook

Pros

20 days of vacation, very defined roles, many people doing the same type of jobs.

Cons

Inexperienced managers, highly "micro-managed" environment where your hourly tasks are published on a firm-wide schedule where everyone can check what you are doing. Mandatory badge in/badge out system viewable by everyone at the firm. No one has a cubicle so expect to work in desks where you are side by side with colleagues. There are no cafeterias or places where you can eat lunch, strategically devised so you will have to eat at your desks. If you are someone who needs rigid structure and micromanagement, this is the place for you! Many "lifers" stay because the company rewards loyalty- the longer you stay at the firm, you will be incrementally rewarded, which creates countless "lifer" management who have little diverse expertise as they this is the same job they have held for 20 years since college.

Explore other reviews about Bloomberg

5.0
Jun 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Good management + good people + work life balance

Cons

NA - can be stressful

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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