trying to follow MS and Goldman rather than its own way of working - Software Engineer Bloomberg Employee Review

2.0
Aug 14, 2010
Recommend
CEO approval
Business Outlook

Pros

decent pay decent group of people

Cons

huge turnover with people leaving every week due to 'policy improvements' trying to become another MS or Goldman by being hard on employees and demanding without giving proper environment for career growth or achievement politicized with people trying to take credit for success and point out other groups' failures to get higher 'score'. ever changing 'metrics' are a joke with 'senior managers' not even knowing themselves how to do certain things while expecting the 'END TASK' delivered. NO SERIOUS GOOD COMPETITOR, so they are going fine in terms of making money, but day someone like Google or others focus on this area, thats when 'senior managers' or old timers will really find their worth ONLY QUESTION TO SENIOR MANAGEMENT IS WHY THEY HAVE SUCH HUGE TURNOVER WHEN SO CALLED 'SUPERSTARS' ARE THE ONES HIRING NEW STAFF and projects still fail

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5.0
Jun 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Good management + good people + work life balance

Cons

NA - can be stressful

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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