Good job, no wfh - Relationship Manager Bloomberg Employee Review

3.0
9 Aug 2021
Recommend
CEO approval
Business outlook

Pros

The people and benefits are great. You have the option to constantly learn and meet clients across virtually all parts finance. The pay is competitive although it does seem to plateau after around 10 years

Cons

Management is completely out of touch with the times. Coummincation around or return to office has been a complete nightmare . Management is still releuctant to formerly give any long term flexibility and if they down I expect it will always be looked down on, so long as Mike is at the compan

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5.0
11 Jun 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
28 Jun 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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