What programming languages do y'all know? What's the most relevant one to learn to be more relevant when looking into exit ops?

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@ASO1 - sure thing here's a few things I've done recently:

VBA - automation of spreadsheet related tasks. I have some spreadsheets that rec out overnight and intraday PNL. Takes in some CSVs from our PBs and spits out any adjustments that need to be made.

Python - very versatile for data manipulation, I'm currently using it for scraping data from the Internet (corporate actions, IPOs/secondaries, earnings reports). I tap into RSS feeds and send out emails or upload spreadsheets to FTP servers for other people to access. I use shell scripting in our Linux environments for automating some start or end of day tasks.

Query languages - our company stores historical data (security data, historical trades etc.) on a Sybase SQL server backbone (soon to be KDB). Queries are a good way to pull data and manipulate it in ways that our front end applications currently don't. Faster than waiting for a developer to check in code changes and release a new version of our GUI.

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^When would I use these? An example or two would be helpful

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Agree with SA1. VBA, Python/Java, SQL as a min, plus maybe a statistical package (MATLAB - paid, R - free).

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Depends what you wanna do. Python is useful for data science, java is high prevalent in front end web development, etc

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This all sounds nice for different roles, but I feel like buy side research has very little need for any of these.

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I would agree, it's not as useful if you're doing research for fundamental strategies. If you're doing quant or HF strats (stat arb, etc.) then the ability to crunch data and determine trends/patterns will be more important.

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At a bare minimum these days I think you should know VBA, some kind of scripting language like Python/Perl/shell, and a database language like KDB/SQL. A working to intermediate knowledge of these will give you a leg up

I wrote a Python script to automate some of the more repetitive parts of report building. Made everything way more interesting. R makes the best graphs and is good for stats modelling. SQL is necessary if ever you want to interact with a database.

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