Slow and Steady or Old and Moldy? - Senior Software Engineer Bloomberg Employee Review

2.0
Apr 13, 2010
Recommend
CEO approval
Business Outlook

Pros

Excellent benefits plus some nice perks like an open Pantry, free admission to various museums, etc. Working a Bloomberg provides a broad exposure to the financial Industry, with a well run training program.

Cons

Massive legacy code base to deal with (great if you want to work on your Fortran skills...) NIH syndrome to the max -- you're not going to be learning any transferrable tech skills here either. Advancement within the organization is difficult. Rather weak vision from the business side. R&D seems to be taking a back burner to developing the news business.

Explore other reviews about Bloomberg

5.0
Jun 30, 2026
Recommend
CEO approval
Business Outlook

Pros

Great compensation, work life balance

Cons

4 days a week on site

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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