Biography
Dan Philps, PhD, CFA, is the head of Rothko Investment Strategies, where he leads an AI-driven systematic equities investment business that has delivered strong, fundamentally-driven alpha for institutional investors since its inception in 2013. With more than 20 years of experience as a systematic portfolio manager, he has built and led investment strategies that integrate advanced AI approaches with deep investment expertise. Previously, Philps was a senior portfolio manager at Mondrian Investment Partners, where he played a key role in developing systematic global credit and securitised bond strategies, pioneering machine learning approaches to enhance credit selection and portfolio performance. Earlier in his career, he designed and developed trading and risk models at several leading global investment banks. Philps holds a PhD in Artificial Intelligence and Computer Science from City, University of London, where his research focused on memory-augmented deep neural networks and their effective application to security selection. He is a CFA charterholder and a member of the CFA Society of the UK. He contributes to CFA Institute on the safe and effective application of AI in investment management. In addition to his role at Rothko, Philps is co-leader of AI Research at the Gillmore Centre for Financial Technology at Warwick Business School and an honorary research fellow at the University of Warwick, where he advances research on AI in investment management.
As complex ML models become more prevalent in investment management, their tendency to overfit to specific historical conditions poses a growing risk to investment outcomes.
AI is more than just another technology. It is a transformative force with the potential to redefine investment management. The industry's most significant barrier to harnessing this power is the widening AI skills gap.
What were the critical stages of LLMs' early development? Where is the technology headed? How will it transform investing?
How can quant and fundamental analysts apply LLMs like ChatGPT? How effective a “copilot” can these technologies be?
For most investment managers, ChatGPT represents the starting whistle in a tech arms race many had hoped to avoid.
Interpretability is paramount in machine learning.
There simply is no substitute for experience in the investment business. Right? Well, perhaps not anymore.
Artificial intelligence (AI) may be among the latest buzzwords in finance, but applying it to investment decision making will disrupt the industry and benefit those investors who harness its power, says Dan Philps, CFA.