Use this roadmap according to the problem in front of you:

  1. Learn probability, statistics, linear algebra, and optimization.
  2. Study asset pricing, factor models, risk models, and portfolio construction.
  3. Build econometric baselines before moving to machine learning.
  4. Add evaluation and portfolio techniques as your research workflow matures.

The practical companion is Research.