It's a gig, not a career. - Financial Applications Developer Bloomberg Employee Review

3.0
Sep 27, 2014
Recommend
CEO approval
Business Outlook

Pros

Pantry, seeing and meeting people due to the special "design" of the work environment, sunlight in the buildings, good work-life balance. Good opportunities to make impact with your work and get to know many people, but don't expect your good work and sweat to get you a promotion or anywhere meaningful.

Cons

Certainly not a place to have a career. Flat organizational structure has its pros and cons. Culture can be very petty. They promote "lifers" to managerial positions, some of whom are seriously not employable elsewhere. Great place to work right out of college, but not after 30. Pay is not very competitive, but they will pay more to someone else to do the same job when hiring from outside. Once you're in the company, you virtually have no place for negotiating salary unless you have an offer from somewhere else. Once you resign, you need to vacate the premises immediately after HR interview which appears to be about checking boxes and more employee surveys.

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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