Richard shares his transformative journey from casual finance reading to a deep understanding of quantitative finance and machine learning. After realizing the limitations of popular finance literature, he pursued mathematics, which paved the way for his career as a quant. His experience in building a global equity machine learning model highlights the importance of domain knowledge in trading and the successful implementation of strategies.
