Quant-Finance-Resources

Why we included this project

Quant-Finance-Resources is a collection of courses, articles, and notes aimed at STEM graduates who want to learn quantitative finance without wading through generic MOOCs. The maintainer, a quant trader with an engineering background from IIT Madras, has organized the material into math, AI, and quant finance sections, so you can move from numerical linear algebra and probability into machine learning, market microstructure, and option pricing in a logical order. The picks favor rigorous, math-heavy sources like MIT OCW, CMU, and fast.ai over survey-style courses, and include papers and books that practitioners actually cite. For a developer or engineering student building a self-study curriculum, that saves a lot of filtering. Just keep in mind it's an index, not software, so the value is in the curation and sequencing.