This is the central repository for Quant Related Resources prepared by Amherst College Quant Club for enthusiasts of all experience levels. We neither claim any rights nor promise any warranties/guarantees over the files and content in this repository. This is a result of compilation of a lot of resources from seniors, experienced professionals, and the vast internet! We will try our best to keep this most up to date!

Quick Notes:

Since AI/ML is so popular these days, we suggest you to refer https://aman.ai for more ML/AI resources, along with updated papers at https://huggingface.co/papers

For modeling related resources:

• https://www.comap.com/membership/free-educator-resources
• https://www.contest.comap.com/undergraduate/contests/

To get started with some industry events/programs, visit the guide presented at https://openquant.co/blog/quantitative-finance-events-2024

Good luck!