The Python Quants | The AI Machine | Author | Creator | Speaker
Discussion Papers
I hold a Ph.D. in Mathematical Finance and am a technologist at heart, spearheading next-gen initiatives in quantitative finance, algorithmic trading, and AI. I blend academic research with real-world impact by authoring books, creating content, and leading hands-on online training programs that empower finance professionals worldwide to thrive in the era of Generative AI.
This discussion paper explores the critical role of programming skills in advancing quantitative finance and AI-supported quant research & development, highlighting best practices and future directions. The major argument is that coding skills are more important than ever in the age of GenAI.
Examines the symbiotic collaboration between expert human quants and AI systems, highlighting the importance of domain expertise and coding skills in the age of AI.
SOME REMARKS: I have written numerous documents, slide presentations, and books in my life. I have published a total of 10 books with 1,000s of pages. Generative AI provides new ways to create documents and papers about certain topics in a very efficient way. This section presents documents created by AI based to a large extent on my own thoughts, input, and prompts. It allows me to efficiently elaborate on ideas and present them in a coherent way within hours and not days or even weeks. I agree that this is not necessarily what human writing and publishing is about. Like a robot that cannot do push-ups for you, you need to get on the ground and do them yourselves. But I feel that I have written and published “enough” in my life to now also leverage the capabilities of GenAI for writing and publishing. After all, this is what selected artists, like Andy Warhol or Damien Hirst, have done in the past with their assistants creating works of art in the name of the maestros themselves. Let me know your thoughts.