Great Perks, Amazing Office, Culturally Repressive - Senior Software Engineer Bloomberg Employee Review

4.0
Jan 28, 2014
Recommend
CEO approval
Business Outlook

Pros

Probably one of the greatest offices in all of New York. Free food / snacks / drinks. Bloomberg is a great place to get introduced to the finance sector, a great place to stay or a great leg up into other big financial names. Bloomberg University gives great classes on a wide range of subjects. Bloomberg hires the best they possibly can, and are willing to pay to get the best

Cons

Alot of people get siloed into doing one thing, very easy to get pigeon-holed. They try to hire big industry names, and then pay them to do work that is relatively non-interesting so they don't stick around. Very easy to get lost in the organization. Terminal sales aint what they used to be, they are working to fix this but your bonus will probably not beat expectations. Clocking into and out of work, cameras everywhere, and open floorplan lead to paranoid workers watching eachother for transgressions. Very strange environment socially.

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.

See reviews by: Helpful|Rating|Date|All