Speaking (unofficially) as someone who works at a large bank: we have a large in-house perl application which runs daily gluing together C++ financial modelling programs that's going to remain perl for the foreseeable future.
Then again we do also have a population of python users, but (as far as our group goes) that's more used interacting with other groups (e.g. an inhouse API which is exposed via python). Another good sized chunk would be traders working on ad hoc modelling (they love their numpy/scipy/pandas). I personally loathe it, but I would recommend learning python (too) as it's the lingua franca for numerical / financial modelling these days.
The cake is a lie.
The cake is a lie.
The cake is a lie.
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