Wai Ip is a Quantitative Strategist at Deutsche Bank. He is responsible for developing technological solutions in addition to spearheading artificial intelligence and data science research. Wai has over 10 years of experience across banking, advisory, and asset management with exposure in agentic framework, software development, research, model development and validation. He has a Master of Statistics from the University of Hong Kong and a MSc in Mathematical Trading & Finance from Bayes Business School, London. Wai is currently pursuing a Master of Information and Data Science at University of California, Berkeley.
// Event appearances
Panel: Telling Signal from Noise When Research Is Cheap
View eventPanel 2 · Signals at Scale: Agentic AI in Systematic Investing
View eventIndustry Talk #2: What It Takes to Deliver on Agentic AI for Investment Research at Deutsche Bank
In this talk, Wai will explore how banks are rethinking the use of AI beyond traditional quantitative models, focusing on a shift toward agentic and intelligence‑driven architectures. The session explains the importance of preparing the technical infrastructure for RAG development, which will ultimately speed up the research processes, improve governance, and reduce operational risk. Rather than simply adding AI tools, the talk highlights how banks are building structured “AI cookbooks,” centralized knowledge bases, and evaluation frameworks that allow humans and AI agents to collaborate at scale—evolving into faster, more adaptive, and more creative research, often described as “vibe research,” that is set to redefine innovation in financial institutions.
View session