Machine Learning in Quantitative Finance 2026

This conference will delve into the current best practices on how financial institutions can implement machine learning techniques within their quantitative strategies to increase their overall return on investment from this technology. Discussions will be had into the current leading tools including Agentic AI chat GPT and LLMs. There will also be case studies into how best to manage different data sources including alternative data as well as how to overcome some of the core challenges that machine learning technology poses such as interpretability. Leaders in the space will deliver lessons learnt from these challenges and provide insight into how they managed to overcome these to ensure a return on investment from this technology.