Python skills for trading
What kind of python skills should I have for a trading role at a bank. Not for a strictly quantitative desk, but generally for market making/flow desks.
What kind of work have you done using python to aid the desk and its activities?
Bump
If you’re not on a quantitative desk, it could be useful to know how to pull data from excel/bloomberg (there is an api that makes this easy on the job). Once you have the data, it’s useful to be comfortable with pandas and numpy for any cleaning or transformations, then being able to make clean graphs using seaborn/matplotlib from there. If you wanted to get a little more complex, you could try and familiarize yourself with sci kit learn and some basic ML concepts, but this might be overkill.
For a trading role on a market-making or flow desk, you’ll want to focus on a few key Python skills. First off, get comfortable with Pandas and NumPy for data analysis—they’re essential for handling and manipulating market data. You’ll be looking at a lot of data, so knowing how to pull insights quickly is super important. You should also know how to visualize data using matplotlib or Seaborn; being able to present your findings clearly can make a big difference. Familiarity with SQL is a plus too, especially for querying databases when you need to pull data for analysis. In terms of what you might actually do, think about automating reporting processes, building models for pricing or risk analysis, or writing scripts to pull real-time market data. If you can work with APIs to grab data from external sources, that’ll definitely set you apart. Ultimately, it’s all about using Python to make workflows smoother and help you make better trading decisions.
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