Sales - Sales Associate Bloomberg Employee Review

2.0
21 Oct 2017
Recommend
CEO approval
Business outlook

Pros

Good base and bonus Free food Nice building Some travel opportunities

Cons

Senior Leadership is home grown and has fallen behind in how the outside world is changing. They say they want new fresh bold talent and then reprimand and "rate" people poorly who try new things and make mistakes. Full time means early mornings, evenings and weekends - limited respect for people with families. Be ready to be committed to the company 24-hours a day and if you take a vacation day be prepared to work during that time too if needed. If you have a personal commitment let your family and friends know they should be prepared for cancellations and being late. The company knows how to execute fast but it's not overly strategic or thoughtful at times. Leadership is extremely slow or unequipped in making high quality decisions and incredibly poor at change management. Causes an emotional roller coaster for many employees. A gossip filled environment with plenty of favoritism and uncertainty.

Explore other reviews about Bloomberg

5.0
22 June 2026
Recommend
CEO approval
Business outlook

Pros

Good management + good people + work life balance

Cons

NA - can be stressful

4.0
28 June 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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