1,454 karma · joined November 17, 2019
Now, I'm not disqualifying them if they dont read the journal. But if they can't demonstrate any proactive interest in finance, or tell me about some happenings/events/stories they personally find interesting (theres a ton of interesting stuff happening) its definitely an amber flag.
Happy to discuss more, might be off the mark... these optimizations are always very interesting in their theoretical vs actual perf impact.
I'm a front office engineer at a prop firm -- always interesting to get insight into how others do it.
We have fairly similar parallels, maybe with the exception of throwing new exchange connections to the dedicated networking group.
Always love watching their incident responses from afar (usually while getting impacted desks to put away the pitchforks). Great examples of crisis management, effectiveness and prioritization under pressure, ... All while being extremely pragmatic about actual vs perceived risk.
(I'm sure joining KCG in August of 2012 was a wild time...)
While I agree that entering a dark alley shouldn't result in ill effects, if ill effects happen in said dark alley it is still worth the discussion to remind people to stay out of dark alleys in today's day and age (or until the root problem, whatever it is, is improved).
Pretending that it is OK to enter dark alleys and forcing blame elsewhere will continue to have people unwittingly enter dark alleys.
Obviously we would all like a full post mortem from the home dept side, but in today's litigious shareholder-value-driven world their response is the correct one.
Then you can build a true hierarchy of citation dependencies, checked 'statically', and have better indications of impact if a fundamental truth is disproven, ...
e.g.
https://github.com/numpy/numpy/blob/main/.gitmodules (some source code requirements)
https://github.com/numpy/numpy/tree/main/requirements (mostly build/ci/... requirements)
...