Generally a positive experience, different groups and departments have vastly different ethos and your mileage may vary. - Senior Software Developer Bloomberg Employee Review

4.0
19 Jun 2014
Recommend
CEO approval
Business outlook

Pros

If you do well, and have a supportive team leader and manager, they are very quick to give you more responsibility. Once you are established as a solid team player, there are many opportunities for growth, educational reimbursements and slow but steady raises.

Cons

Some teams are decidedly better than others, ranging from a bunch of very competent folks that would do well almost anywhere, to other teams which seem to be what's left after years of the cream of the crop skimming off to other places. You are not allowed to actively trade, and moonlight coding for open source projects is if not discouraged, at least made quite tedious and difficult.

Explore other reviews about Bloomberg

5.0
8 Jul 2026
Recommend
CEO approval
Business outlook

Pros

good pay, great team, lots of experience gained

Cons

mundane tasks sometimes, can be competitive

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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