Buzzing work environment, really smart people and varied work. - Senior Software Engineer Bloomberg Employee Review

5.0
Dec 7, 2014
Recommend
CEO approval
Business Outlook

Pros

Bloomberg isn't really a finance company - it's a technology company whose primary clients happen to be in the financial sector. As such it is the equivalent of Google or Facebook in its world. For the software developer, it offers a chance to work on a large scale, distributed system used by 300,000+ premium clients to help them make decisions within the financial markets. This means solving problems of scalability and robustness on a scale which relatively few other companies other than the ones already mentioned may have to deal with. The work environment is friendly and open, and the company is constantly working to refresh its technologies in order to advance its products.

Cons

Bloomberg has vast amounts of code in its system -- and some of it is really old (Fortran 77 from the eighties or nineties). Having to work with or around some of this code may put off some developers.

Explore other reviews about Bloomberg

5.0
Jul 8, 2026
Recommend
CEO approval
Business Outlook

Pros

good pay, great team, lots of experience gained

Cons

mundane tasks sometimes, can be competitive

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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