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I find this interesting. We’ve been discussing the merits of M vs PhD hires. Crudely: M more green, but come hungry to learn. With PhD’s you’ve got to filter out those who come expecting mainly to apply what they’ve already learned. PhD’s performance generally more bimodal.
Something I always make sure to impress on candidates applying with PhDs -- we are doing trading research (not ML/statistics/optimization etc) and we use whatever tools are best suited to that. People who just want to apply their niche technique are never going to work out.
yup @AlexanderGerko has made this point as well
Probably one reason why physicists we're so success in the early years: they bring their knowledge to bear to solve specific problems. With caveat that there was low hanging fruit then.
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