Some good, some bad, a lot of eh - Recensione dipendente - Software Engineer presso Bloomberg

3,0
6 mag 2020
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

* Fantastic pay and benefits * Great internal technical training * Projects are generally very interesting, you can see the direct consumer impact * Summer picnic is fun with free drinks, food, and some rides and activities for families * Depending on the team, flexible temporary work from home options for any issues at home, such as childcare

Svantaggi

* Based in extremely high cost of living * Very politically active company - get emails and other messaging from management about their political activism, especially after 2016 * Partially due to being in NYC, and partially from political openness from management, the office can feel very progressive-leaning and make more moderate and conservative leaning people feel uncomfortable * Middle management sometimes disorganized from stuffing too many projects into sprints and quarterly planning, causing breakdowns in future sprint and quarterly planning meetings * The "Bloomberg Development Environment" (BDE) and other Bloomberg-specific toolchains and technologies mean many of your skills are less portable to new companies if looking to move companies

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

Vantaggi

great company to work for

Svantaggi

I cant think of any ons

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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