![]() Ideally, he says, quants need to find themselves a good mentor. "If someone told me to develop my social skills, my knowledge of the corporate world and my institutional and organizational capital, I think I would have succeeded a lot more than I have right now," he reflects. That truth isn't just that you need to understand the broader context of your work as a quant, but that you need to network internally, says Glukhov. He says people misunderstand the nature of quantitative jobs in finance, and that had he only known the "deep truth" early in his career, it would have saved him a lot of angst. Glukhov, who has a PhD from Stanford in electrical engineering, spent five years at JPMorgan after joining from Liquidnet, where he spent nearly a decade working on algorithmic trading products. " I always encourage my juniors to go out and explore the bigger world of sales trading compliance risk and legal – to get to know how the whole organisation." "If you are just working with data, you will sit in the corner forever as a quant who works with data," says Glukhov. Vacslav Glukhov, JPMorgan's AI research director until March this year, and the bank's former head of quantitative research for electronic trading, disagrees. Knowledge of the financial services industry and its products is seen as subsidiary to this. ![]() It's long been a trope for quant and data jobs in finance that success is about mostly mathematics, data manipulation, and coding. ![]()
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