[suddensleep]

Disclaimer: I work as a data scientist at a large financial institution based in the US; to be fair it is one that has a reputation for being on the "cutting edge of tech", FWIW.

The data teams I work with don't know SAS and some members aren't even that facile with Excel, opting to use Apache Spark (mostly Python, but also Scala bindings) or pandas instead. Almost no one does serious data work on their local machines, and there is a big push to store all of our data off-prem.

The dev teams I work with actively experiment with different cloud-based architectures, devops automation tools, database solutions, etc.

From a product perspective, lots of teams use agile workflows, but each team is allowed to (and encouraged to) choose their own style of getting work done.

This is not meant to imply that banks have largely moved to this model; I think that we are the exception rather than the rule. This is _also_ not meant to imply that top-down corporate "solutions" don't affect us, and that greed has been completely factored out of the equation. But I've been pleasantly surprised by how much leverage and freedom we have as the "tech department".

[joncrane]

Capital One?