How quants are getting the most out of Claude
Agentic tools boost productivity by multiples, but using them takes skill.
The global quant head at a leading US bank is working on the type of model calibration problem he would ordinarily disregard. “It would require too much experimentation, too much hard work,” he tells WatersTechnology’s sibling publication, Risk.net. “There would be too many open ends. It would be too time consuming.”
Except now he is tackling the task by doing “as little of the work as humanly possible.” He has written zero lines of code. AI is doing the work instead. “It’s going pretty well at
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