Previously small fast-moving company that has become a huge lumbering dinosaur - Anonymous employee Bloomberg Employee Review

3.0
Apr 27, 2012
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Pay is incredibly better than most places, so employees become very loyal to the company. Free food and interesting office environment. Great benefits and perks. Generous parachute package when they terminate you.

Cons

No communication between bloated departments and managers; too many layers of supervision. MIcro-management of time and roles keeps workers feeling oppressed. No recognition for extra effort. Total disconnect between annual review rating and compensation. No matter how hard you work, and no matter how well your annual review goes, compensation and bonus levels have already been decided in advance and seem totally unrelated to performance. Some of the most-clueless workers end up in charge. Talent does not equal growth. We were always told that "Bloomberg is a meritocracy" but many workers end up stuck in the same position for many years.

Explore other reviews about Bloomberg

5.0
Jun 25, 2026
Recommend
CEO approval
Business Outlook

Pros

great company to work for

Cons

I cant think of any ons

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