Good entry career - Financial Sales and Analytics Bloomberg Employee Review

3.0
Jan 4, 2017
Recommend
CEO approval
Business Outlook

Pros

Good sales regiment (plenty of training) Learn indepth finance (like a mini-CFA) Lots of young, smart, motivated people Decent starting salary (analytics) Good work/life balance (in larger offices, like NYC) Good benefits

Cons

Company as a whole has plateaued and 'sales' does not really exist Very bureaucratic, plenty of people telling you what to do Clear line between management and non-management (lots of 'private internal meetings') Salary flattens out and veterans get a sense that they are being pushed out (as nobody is ever really 'fired') Smaller offices are over engineered - smallest amount of power gets to management's teeny tiny little head 8-6pm contract typically means "7:30am - don't be the first to leave" Business model is flawed now that other firms are essentially delivering the same technology for much less

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.

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