Great business model, where employees are just a cog in the wheel - Sales bei Bloomberg: Mitarbeiterbewertung

2,0
12. Aug. 2021
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Pros

the company has great business model, growing profits. Very well known brand in the market. Useful to have on your CV - if you are looking to be in the Financial Vendor space.

Kontras

Great place for your 1st job & Great place for your last job. (Not in between when you want to advance your career and make money you deserve) > Company treats employees like cogs in the wheel- completely replaceable. Does not value loyalty. Treats all employees- however much experience you have- as a child in school- where you are told exactly what you should do. On the outside it prides on being a transparent organization- with its missive GLASS building/office interiors without cabins- however in terms of Compensation and career growth- its as opaque as it gets. Run by a bunch of old school Men, company only TALKS about diversity and inclusion- (alot) - but in reality its believe system is very chauvinistic. Owner believes in Charity- and most profits are drained into philanthropic activities under his name- very little is given back to the employees in terms of salary increases/bonuses.

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5,0
11. Juni 2026
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Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Kontras

Not really cons, culture is great.

4,0
28. Juni 2026
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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.

Kontras

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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