Genuinely a great company - very underrated - Financial Product Analytics and Sales Bloomberg Employee Review

5.0
Dec 30, 2022
Recommend
CEO approval
Business Outlook

Pros

- Bloomberg literally pay you for your first 6 months to study and then following that they are willing to sponsor further learning be it a masters, CFA, CAIA, etc. - in Analytics specifically you learn a lot in a short space of time - The working hours are not nearly as bad as in other financial firms. - Unlimited pantry snacks - The office is a lovely space I think people generally do have misconceptions about the opportunities here. Yes it’s not a full on financial firm however if getting there is your end goal, Bloomberg can certainly help and is a great place to start

Cons

- In your first 6 months you can’t work from home. After 6 months you get 1 day WFH and 2 days after a year. - more than your day job is expected of you in terms of participating in philanthropic efforts which not everyone may care for

Explore other reviews about Bloomberg

5.0
May 6, 2026
Recommend
CEO approval
Business Outlook

Pros

Great place to work if you are looking for work life balance

Cons

The data department has very limited growth opportunities

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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