Going Goldman Sachs Direction - Senior Software Engineer Bloomberg Employee Review

3.0
Jan 23, 2011
Recommend
CEO approval
Business Outlook

Pros

Free snacks and coffee Good office location Modern office setup

Cons

Like the other programmers pointed out, it is a dead end for senior developers. Bloomberg uses proprietary technologies. Your skills would become obsolete and irrelevant to other companies in 2~3 years. If you plan to just get some experience and add a line in your resume, this place is definitely a good place to start. If you have plan to stay for long term, think again. Bloomberg used to offer generous compensation packages and take care of loyal employees. But since Mike left for New York City Hall, the culture has changed. Loyalty is less important than profitability. If you get stuck for more than 5 years and still don't get chance to move up the ladders, then you should definitely consider moving to other companies before it becomes too late for you to brush up your fading skills and memory from college.

Explore other reviews about Bloomberg

5.0
Jun 11, 2026
Recommend
CEO approval
Business Outlook

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Cons

Not really cons, culture is great.

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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