If you have other offer don't come to Bloomberg - Software Engineer Bloomberg Employee Review

2.0
Jan 22, 2022
Recommend
CEO approval
Business Outlook

Pros

Work-Life Balance is good. I sometimes leave work around 4 pm

Cons

Overall an old company that cares mostly about seniority and is stubborn about policy 1. They insisted on returning to the office during covid times. Which makes me think they don't care about their employee's health. (Since I am a software engineer, it's not like I really need to complete the work in the office) 2. In some teams, what you can learn is finite. After you learn every part, you probably won't learn new things unless you change team 3. Your assessment of your mentor or TL doesn't seem to affect them. Therefore, some mentors or TLs won't be very helpful 4. For non-senior-level software engineers, Bloomberg helps process the green card after one year of joining. However, the company asked the employees to stay for at least stay 2 years after they got their GC or you need to pay them back. Moreover, if you leave the company within 3 years, you need to give back your 401k matched.

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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