Join as a graduate but don't stick around... - Terminal Sales Bloomberg Employee Review

3.0
16 Nov 2016
Recommend
CEO approval
Business outlook

Pros

A great company to join as a university graduate. Great benefits If you travel you'll be staying at the best five star hotels in town

Cons

Less fun to work if you're a few years into your career, if you have a family and kids as work is demanding and there's NO FLEXIBILITY. Michael Bloomberg has built a successful company based on TOTAL CONTROL of his customers and his employees. Big banks pay a fortune for it's products and Bloomberg controls the market so competition is limited. Employees swipe in and out when they enter/leave the office allowing management to see exactly where you are. Management does also have access to people's diaries, and keep track on the number of phone calls and meetings that are made. Employees are given a warnings if they're 5 minutes late in the morning and no one is allowed to work from home unless they're a manager. Employees are so brain washed so they totally accept the strict controls in the company.

Explore other reviews about Bloomberg

5.0
6 May 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
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.

See reviews by: Helpful|Rating|Date|All