All you need to be happy with a bit lower salary - Recensione dipendente - Senior Software Engineer presso Bloomberg

5,0
31 ott 2024
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

In Bloomberg management definitely think that engineers are their greatest asset and they invest a lot into their engineers. There are multiple big internal conferences every year, hundreds of continues education courses anyone can attend, it's quite simple to sign up for attending external conferences like CppCon as well. Bloomberg gives away most of their revenue for philanthropy, you can also sing up to multiple various activities yourself, like planting trees, helping homeless etc.

Svantaggi

The compensation is a bit lower comparing to FAANG. There's also no tech lead career path for most senior engineers not wanting to become a manager. On a bright site you can contribute beyond your team.

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5,0
11 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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

Svantaggi

Not really cons, culture is great.

4,0
28 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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.

Svantaggi

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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