Amazing company where you can learn a lot - Sales Bloomberg Employee Review

4.0
Jul 18, 2019
Recommend
CEO approval
Business Outlook

Pros

Mike Bloomberg is a visionary Top notch benefits and paid time off Exceptional focus on philanthropy if you want to participate Incredible headquarters building A truly disruptive technology that changed the way information is disseminated in the financial markets Team environment If you are selling at Bloomberg you will never have to work a weekend

Cons

Very limited opportunities to move up - management is mostly made up of entrenched "lifers" Unusual compensation structure for sales - if you are used to doubling your salary with your commission, you will probably take a pay cut. The flagship product has so saturated the market that the company now relies on growth through the selling of "ancillary" products. Some of those products are successful but if you are trying to sell one that isn't, it's an uphill climb. That said, there are lots of opportunities to move to other products within Bloomberg.

Explore other reviews about Bloomberg

5.0
Jul 23, 2026
Recommend
CEO approval
Business Outlook

Pros

Great work life balance and coworkers

Cons

No cons, this was a good place to be with nice coworkers

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