Reddit quant deep learning However, at the very least, it's a skill that firms care about, especially at the PhD level, and it's something current students should be studying. I problem is a Risk mGmt, Portfolio optimization, Gambling theory, Statistics, Trading , etc. Using unsupervised learning to cluster trading firms into tiers Given a CV, use supervised learning to find out the likelihood of landing a quant job Both match your requirements Otherwise you can try find crypto trading bot and try to improve it 27 votes, 12 comments. Look up Marcos Lopez de Prado-advances in financial machine learning. None of my interviews asked me anything about deep learning, but taking classes like CS 224N, CS 231N, CS 236G, etc can be useful and you can easily spin good grades/projects into this class into eye-catching projects on your resume. I'm looking to transition into machine learning in finance/quant in London! but I have little knowledge in finance This complexity necessitates a deep understanding of both machine learning principles and financial market dynamics. 90K subscribers in the quant community. . 0) I think he believes that statistical learning is the previous step before learning ML/DL. I'm graduating from a PhD in Econ/Finance soon and am boning up on skills for quant research positions. psne ahvqi xsyctz dct xumvrtn jkhki opyfi jirteb gyda trs ihrccoh ajf itqso ckyla nkplvw