[SMU QFAG] Future of Quant Skills — What Will Matter?

As artificial intelligence becomes increasingly embedded in research, trading, and investment workflows, many of the capabilities traditionally associated with quantitative professionals are becoming faster and more accessible.

Coding, data analysis, model implementation, and information retrieval can increasingly be augmented—or partially automated—by AI. What does this mean for the next generation of quants? This fireside chat explores how the skill set of a successful quant may evolve in an AI-enabled world. Beyond technical proficiency, will greater value shift toward problem formulation, market intuition, critical thinking, judgment, and the ability to work effectively with increasingly capable AI systems? And as routine analytical work becomes easier to automate, how should aspiring quants prepare themselves for careers where the expectations of junior and senior professionals alike may look very different?

Through the perspectives of experienced practitioners, the discussion will examine which traditional quant skills remain foundational, which may become commoditized, and what capabilities will ultimately differentiate the quant of the future.