Great company overall - Financial Analyst Bloomberg Employee Review

4.0
Aug 4, 2025
Recommend
CEO approval
Business Outlook

Pros

Pay tends to be higher than industry average. Generous benefits package. Opportunities to branch out depending on the department you work in. Good work life balance, depending on the department you work in.

Cons

Some departments can be severely micromanaged. Once a new director is brought in he or she can easily replace the existing team with their own staff brought in from previous employer. The existing staff is either managed out or will be told to look for a position within the company by a specific time (2 or 3 months.) If nothing is found you are let go. Not all employees are held to the same to rules/requirements (ie coming into the office 4x a week.) Some departments don't care at all and other departments are actively monitoring your "in office" time which can appear on a daily dashboard to the higher ups. Some departments can be very "cliquey." Your standing within the team is based on who you are networked with rather than level of skill. Old timers can get away with a lot and not be penalized for company infractions.

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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