Comment by stevesimmons
5 years ago
This was 100% my experience too.
The biggest productivity gains were:
- having a single source of truth for both data and code (in a closely coupled environment)
- strong, battle-tested libraries to take care of all infrastructure concerns.
- enforced code dev/test/review/deployment workflows
This let the front-office devs be highly productive on adding real business value for their trading desks.
Remember also that these systems at GS, JPMorgan and BAML started around 2007-2010. The infra we all take for granted today at AWS/GCP/Azure simply did not exist back then, and banks' data security policies at the time did not allow cloud processing.
> Remember also that these systems at GS, JPMorgan and BAML started around 2007-2010.
GS had „these systems“ well before 2000 (via J Aron). I think around the time you mentioned they spread to other firms (in their Python reincarnation).