Interviewing with hedge funds has been the worst experience of my career

The interview horror stories emerging from quantitative finance reveal a troubling pattern that extends far beyond individual bad experiences. When multiple candidates report similar encounters with hedge funds and investment firms—prolonged processes that dangle offers without commitment, technical gauntlets featuring LLM case studies and IQ tests, followed by radio silence—it suggests a systemic issue plaguing an entire industry's approach to talent acquisition. These aren't isolated frustrations but symptoms of a hiring machine that has lost sight of basic human decency and efficiency. My experience interviewing with Huawei Vancouver for an ML research role: strong mismatch between how it was pitched and how it was evaluated serves as a parallel case study in how technical complexity can mask fundamental misalignments between expectation and reality.

What makes these experiences particularly egregious is the disconnect between the industry's apparent sophistication and its primitive handling of candidate relationships. Hedge funds, of all places, should understand the value of optimization—yet they waste months of talented professionals' time while failing to optimize their own recruitment funnel. The fact that two of these candidates never even applied, being cold-reached on LinkedIn, adds another layer of irony: these firms invest heavily in identifying top talent only to subject that talent to processes that would frustrate anyone. This isn't just poor management; it's a strategic failure that damages employer branding and wastes the very resources these companies seek to attract.

The broader implications extend beyond frustrated job seekers to question how traditional finance adapts to a modern workforce that values transparency and respect. In an era where candidates increasingly prioritize workplace culture and ethical practices, industries that treat potential employees as disposable are making a costly miscalculation. The proliferation of artificial barriers—multiple interview rounds, standardized cognitive testing, algorithmic case studies—suggests a preference for filtering over genuine assessment of capability and cultural fit. This approach may eliminate unlikely candidates, but it equally drives away those who could excel in the right environment.

Perhaps most concerning is how these practices reflect a broader tension between legacy financial institutions and evolving professional standards. As data-driven decision making becomes table stakes across industries, these firms should lead by example in their own hiring practices. Instead, many appear stuck in a paradigm where process complexity substitutes for thoughtful evaluation. The question moving forward isn't just how to improve interview experiences, but whether entire industries will adapt their talent strategies before they become irrelevant to the next generation of professionals who expect both competence and courtesy.