Are AI tools actually moving the needle for junior bankers?
As an incoming analyst, it’s clear that LLMs are a game-changer for base-level productivity. While we all know they’re great for "Ctrl+F on steroids" (summarizing CIMs or digging through deal docs), I’m curious about the higher-order use cases people are actually finding. As well as recommendations on the best areas to get proficient in before hitting the desk
- Beyond basic summarization, what is the best use case you’ve found for AI in your workflow?
- Is your firm sticking to in-house LLMs (like JPM’s LLM Suite or GS AI), or are you seeing broader access to external models like Claude or specialized tools (Hebbia, AlphaSense, etc.)?
I’d love to hear what’s actually saving you time versus what’s just hype.
bump
Claude within excel is an absolute masterpiece. Building formulas, cutting data, taking the first pass at a model etc.
Claude went through every formula within a 20 tab excel and found the formula errors where in 5 of the cells the sum range wasn’t anchored for example.
Beyond the summarization and the above, it is great at helping you flush out ideas and providing research. The art is all in the prompt, if you can’t ask the right prompts you will get terrible slop outputs.
What prompts are you using for model review?
Honestly depends on the model, but have a different AI make the prompt for you. It narrows the scope, contextualizes, and makes it quite clear what to look for and what it can or cannot do.
I always make sure to have it only edit the tabs I want it to, and to make sure any formulas it uses do not include the naming of cells or any weird AI code etc.
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