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"Machine learning proficiency has become table stakes in quantitative finance, yet many of the field's most technically gifted researchers find themselves plateauing well short of senior leadership. Understanding why requires a frank examination of what firms actually reward when they decide who moves up—and who stays put."

"Career attrition in quantitative finance follows patterns that are more predictable than most firms acknowledge. An examination of departure timelines, compensation structures, and research environments across more than two hundred quant professionals reveals a troubling concentration of exits at a specific career stage—and the organizational conditions that reliably push talented people over the edge."

"The doctorate was once the unambiguous price of admission to elite quantitative research roles. That consensus is fraying. A growing number of firms are hiring candidates from coding bootcamps, self-directed engineering backgrounds, and unconventional career paths—and some of those hires are outperforming their credentialed peers in ways that are difficult to ignore."

"The conventional wisdom that quants should cultivate broad, cross-functional skill sets is producing a generation of professionals who are competent across many domains and indispensable in none. A growing body of evidence from compensation data and hiring patterns suggests that quants who commit to genuine depth in a single specialized area—volatility modeling, high-frequency microstructure, systematic macro—are commanding significant wage premiums over their generalist peers. This article exam"

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