Motaz Nofal

For heads of desk aiming to set an AI adoption strategy, prioritise projects, and manage governance.

This lab focuses on the leadership perspective- helping heads of desk set a strategic direction for AI integration. Through interactive discussion, participants will map internal use cases, prioritise investments, and outline governance frameworks to balance innovation with risk management. Topics include building in-house versus partnering with vendors, aligning AI with wider technology modernisation plans, and defining the skill sets future trading teams will need.

As equity derivatives trading becomes more electronic, desks are under pressure to execute with greater speed, precision, and efficiency. This panel explores how automation, smart execution algos, and real-time analytics are reshaping order handling, risk management, and execution quality. From building models to improve fill probability, to embedding advanced analytics into trader decision-making, panellists will share how buy-side firms are deploying technology to reduce costs, enhance liquidity access, and improve overall execution performance in equity derivatives trading. 

A 15-person, buy-side-only roundtable for quants and trading research practitioners to exchange practical approaches on the toughest desk challenges- from defining and measuring addressable liquidity to modelling execution outcomes, evaluating bilateral streams versus algos, and turning fragmented data into actionable trading intelligence. Held under Chatham House rules with no vendors, the session aims to help build a new buy-side quant and trading research community at TradeTech, enabling participants to connect and collaborate directly post-event.