Good place to start a career in city - Anonymous employee Bloomberg Employee Review

3.0
Sep 15, 2011
Anonymous employee
Recommend
Business Outlook

Pros

Good benefits package. Relatively easier to get a job than in other city firms.

Cons

Flat organisational structure. Limited opportunities for promotion. No senior titles. One can get promoted only to TL level and then to head of the department, which is quite unlikely. Many people who get promoted to TL level come from different departments and have no expert knowledge to guide and practically help you in the first year or so (well, they catch up in about a year under high work pressure). Pay increase is miserable. New recruits get more money than someone who worked for years. New recruits are enticed with competitive starting salary, but it rarely increases beyond inflation rate in the following years unless you get promoted to TL level. There is trivial difference in pay increase for stars and good performers. Not enough financial stimulus to deliver outstanding job. Global data is one of the worst departments in the company in terms of pay vs. work hours.

Explore other reviews about Bloomberg

5.0
Jun 11, 2026
Recommend
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
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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