Great Minds, Strong Work Ethic, Room for Growth, Plenty of Training, and Long Hours - Financial Software Developer Bloomberg Employee Review

4.0
Sep 23, 2013
Recommend
CEO approval
Business Outlook

Pros

This is the kind of place where you feel honored to be among the smart people working here. Lots of opportunity for advancement and to learn both formally and informally. Very cool perks like free admission into any museum you can think of, great company parties, etc. Having a TV studio in the building meant occasional celebrity sightings.

Cons

Long hours, usually worked until 8 pm and was too worn out to do anything after work. Senior Management would sometimes tell us that we need to stop working so hard, but it was just lip service. The culture and the project deadlines require constant long hours. You feel guilty leaving at 6pm. There seemed to be a lack of organization at the team lead and management levels which trickled down to the developers. The open work environment basically meant constant interruptions. It was hard to focus and get anything done until the end of the day when most people had gone home. On the other side of training is the unofficial requirement to spend time training new developers. Normally, when building a team this is a good thing, but in the 2 years I was there, I trained 5 temporary consultants. So, instead of building a team, all that training just went to completing their short term project, then they were gone.

Explore other reviews about Bloomberg

5.0
Jun 25, 2026
Recommend
CEO approval
Business Outlook

Pros

great company to work for

Cons

I cant think of any ons

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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