ADSK... - Financial Analyst Bloomberg Employee Review

1.0
Sep 11, 2016
Recommend
CEO approval
Business Outlook

Pros

Generally nice colleagues and access to the terminal Free food and nice staff

Cons

Title is analyst but real title should be call centre specialist. If you are from non-financial background then may be ok but this is NOT a finance job. Good people who actually know finance leave firm very quick due to very poor management. There are many place you can move within the department but it is not moving up just sideway. Very hard to find a job if you stay more than a year. Most of the people who work for company for years because they cannot find another job, not because they love the job. If you ever want to work or stay in any finance jobs do NOT take this job. This is going to make your life more difficult. Yes, company name is not bad but you cannot tell your interview at the next job you have been working at call centre for the past ... years.

Explore other reviews about Bloomberg

5.0
Apr 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Great culture, benefits, pay, and work-life balance

Cons

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

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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