Well paid, brain numbing - Financial Product Sales and Analytics Bloomberg Employee Review

1.0
Aug 24, 2017
Recommend
CEO approval
Business Outlook

Pros

Great salary for young talent, lots of training during your first few months, brilliant people at lower ranks. Also, if you learn to "play the game", you can avoid the stress and just take the pay!

Cons

There are three roles you carry out in this department: answering clients' questions, calling clients with updates on the software, calling clients to discuss how their needs can be better covered with the Bloomberg terminal. The first role is what takes up most of your time and is what causes most stress, but the others only add to the generally accepted term of "glorified call centre", where we work 9+ hours a day with only the breaks we allow ourselves, as the workload at no moment allows you time to breathe. Your schedule is fixed to the minute and your work is broken down to micro-movements that are monitored with a great variety of statistical measurements, imposed by a management evermore worried to show that they are adding value in some way. You do not rest and are not given time to carry out more value-adding activities during work hours, so do these after work, thus burning out after a few months. Your relationship with management can depend strongly on your performance in regards to your statistics, which do not reflect your efforts and passion to excel. And this can later have a negative impact on yearly salary increments.

Explore other reviews about Bloomberg

5.0
Jul 10, 2026
Recommend
CEO approval
Business Outlook

Pros

Great work-life balance with nice benefits and interesting client work

Cons

A bit slow-moving in terms of AI adoption for internal tools

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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