A subscriber wanted to know if quant financial will end up like data science where undergrads will be hired as the new normal. The short answer is no but the answer is a bit complicated. Quantitative financial started out like data science as a trendy degree where every quant was a full stack quant. As the quantitative money sector matured the job got split into quant (also known as quant researcher or model developer), quant dev (implementation), and trader (enterprise user). Data science has had a similar full stack start but in the last few years has really started to segment into data engineering, data science, ML engineer, and dev ops. Even these new categories seem undecided on what they really mean. Quant financial is more mature as an sector that data science however BOTH still have a long ways to go.
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