Frustrating and zero career development - Account Manager Bloomberg Employee Review

1.0
Sep 2, 2022
Recommend
CEO approval
Business outlook

Pros

Nice office, pantry, a few nice colleagues

Cons

There is no meritocracy; this place it’s a politics game. They don’t promote people for their results or hard work, they only promote if your manager likes you, even if you barely do the minimum. I saw people being saboted just for not being “manager’s favorite”, even though being the best in the group. They don’t care about people, they ask you to be at the office every day at 8am - long hours. They asked people to return to office for no reason, even before getting vaccinated during the pandemic and against government advice at the time. They monitor everything you do: every single e-mail and phone call. They don’t care about the quality of work, so some people play the system and have a very bad work, but they don’t care as long as in the system looks nice.

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.

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