Top-tier data engineering at a global scale - Recensione dipendente - Data Analytics Engineer presso Morgan Stanley

5,0
24 mar 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

You get to work with a modern tech stack (Python, Spark, Snowflake) on some of the world’s most complex financial datasets. The culture is collaborative, the benefits are excellent, and the prestige of the firm opens many doors.

Svantaggi

Being a large, regulated bank, there is some unavoidable bureaucracy. Navigating legacy internal systems and getting approval for tools can sometimes be a slow process compared to a tech startup.

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5,0
4 lug 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Big name company. Helps with resume.

Svantaggi

Operations may get tedious sometimes.

3,0
30 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Very good co-workers, Great technology stack. Lot of new technologies and integration with current work.

Svantaggi

They dont even give you a MS cup. They ask you to buy it for 5$. So cheap! Management big on "Giving back", Immediate managers do not like it and are not supportive. Lay off employees twice a year to show profits. Only worried about shareholders and clients. Don't know the criteria for lay-off. So, you are always worried if it is your turn. They boast about mental health and wellness. No good, when they layoff employees like this. HR = Horrible Resources. When you are laid off, they shoo you away as if you are a fly. You feel miserable. They themselves say - "We are better than Facebook or Oracle. We dont fire you at 6 AM over email." Gosh! What a comparison!

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