What can quantitative strategists learn from the world's most data-driven sport? In this keynote, Neil Martin, pioneer of data analytics in Formula 1 and founder of Paceteq, brings over 25 years of experience at Ferrari, Red Bull, and McLaren to the world of finance. From split-second race decisions to long-term strategic planning, Neil draws powerful parallels between the precision of motorsport and the high-stakes environment of quantitative investing. This session will unpack how to harness data analytics, digitalisation, and risk modelling to drive better decision-making under pressure — and build winning strategies in the face of uncertainty.

Key Takeaways:

• Precision under pressure: How F1 teams manage uncertainty and high-speed data to make critical decisions — and what quant teams can learn from their approach.
• Risk modelling in motion: Applying Monte Carlo simulation, game theory, and probabilistic thinking to optimize race strategy — and how similar frameworks can apply to trading and portfolio management.
• Digitalisation as a competitive edge: Lessons in building smart, adaptive systems through AI and automation to unlock performance.
• Data-driven culture: How to instil a high-performance mindset across technical teams and foster collaboration between engineering, strategy, and operations.
• Cross-industry innovation: Why today’s most forward-thinking firms are looking outside finance for their next strategic advantage — and how motorsport continues to lead in real-time analytics.