PoMaTo Presents AI-Driven Portfolio Construction at Bayes
17 March 2026
PoMaTo Presents AI-Driven Portfolio Construction at Bayes Business School
London, March 2026
PoMaTo recently delivered a guest session at Bayes Business School, engaging MSc Finance students in a discussion on how artificial intelligence, quantitative models, and cloud infrastructure are reshaping modern portfolio construction.
The session explored the evolution of portfolio management from traditional frameworks toward more dynamic, data-driven approaches. Drawing on both academic foundations and industry experience, the presentation outlined how advances in analytics and optimisation are changing how portfolios are built, tested, and managed.
From Theory to Real-World Infrastructure
The session began with a review of the journey from academic research in financial simulation systems through to practical experience in investment management and quantitative consulting.
This progression highlighted a key theme: portfolio construction is no longer just an investment decision—it is increasingly an infrastructure and process discipline.
Challenges in Modern Portfolio Construction
Students were introduced to several structural challenges currently facing the investment industry:
- Increasing pressure on fees and margins
- Rising regulatory and reporting requirements
- Greater demand for transparency from clients
- Operational inefficiencies in spreadsheet-driven workflows
The discussion emphasised that many portfolios are still built on fragile, non-reproducible systems, creating hidden risks in decision-making.
Pics of the Day!
.
.
.