Introduction

Large language models fundamentally transform quantitative finance skill requirements. Quant teams must develop new capabilities combining deep learning, natural language understanding, and financial domain expertise.

Skill Requirements and Gaps

LLM fundamentals, prompt engineering, fine-tuning approaches, and responsible AI governance become essential skills.

Training Programs and Development

Firms developing targeted upskilling programs preparing teams for LLM era and new capabilities.

Talent Competition and Compensation

Competition for LLM-capable talent drives compensation increases and retention challenges.

Conclusion

LLM era requires organizational upskilling and talent investment.