I’m currently an intern at a small investment bank / securities firm, mostly around sales and trading, but the internship is pretty broad. I work with traders, researchers, market makers, and generally help wherever I can. One thing I’ve noticed is that there does not seem to be anyone in the office who is especially deep into AI tools. I have been using ChatGPT since it first came out, and more recently I have been using Claude Code, Cowor and other AI tools for things like research, prospecting, simple automation, scraping, website building, and basic “vibe coding” projects. I do not have a computer science background, but I have always been pretty comfortable figuring out how to use these tools. I have built some basic prospecting systems, research workflows, company screening tools, and small automation projects. Nothing groundbreaking, but enough to see that AI can seriously improve productivity if applied properly. My question is: If you were in my position, how would you use Claude Code / AI tools to create real value inside a finance firm? I have already started talking with one of the researchers at the firm, and he seems open to experimenting with AI driven workflows. He says they need to take advantage of these tools and I want to bring useful ideas to the table. Also, I’m obviously never going to upload confidential company data or do anything risky from a compliance standpoint. Thats another thing we’ve discussed, potentialy setting them up with an internal hardware Ai system, disconnected from any data exchange or whatever, that sort of thing is unfamiliar to me. I just want the tools and skills that could make me more valuable as an intern and help me build a long term career in finance as AI becomes more important. What would you focus on learning or building first? submitted by /u/reevoin1
Originally posted by u/reevoin1 on r/ClaudeCode