
Our RiskX stage explores how the most sophisticated funds are identifying, measuring, and managing risk across market, liquidity, regulatory, and model dimensions in an environment where traditional frameworks are being challenged by rapid market change and AI-driven systems.
It brings together Chief Risk Officers, Heads of Risk, and investment leaders to understand how risk is evolving, where current frameworks are failing, and how leading firms are adapting to new and emerging failure modes.
Core question: How do you prevent failure in a market where risk is changing faster than your models?

Market & Portfolio Risk
How firms are measuring exposure across strategies, regimes, and correlated assets under stress conditions.

Liquidity & Systemic Risk
How liquidity behaves in crises, and how funds are adapting execution and portfolio construction accordingly.

Model & AI Risk
How AI-driven and systematic strategies are introducing new failure modes not captured by traditional frameworks.

Regulatory & Operational Risk
How evolving regulation and reporting requirements are reshaping risk infrastructure and governance.

Chief Risk Officers (CROs)
Responsible for ensuring the fund survives adverse market conditions and extreme stress events. Focused on early detection of emerging risks and clear reporting to boards and investors.

Heads of Risk
Oversee firm-wide risk frameworks, ensuring exposures are understood, controlled, and within mandate across all strategies and asset classes.

Risk Managers (Market, Liquidity, Regulatory)
Monitor real-time exposures, liquidity constraints, and regulatory compliance - and identify breaches or emerging vulnerabilities before they escalate.

Portfolio Construction Specialists
Embed risk directly into portfolio design, ensuring allocation decisions are robust under different regimes and stress scenarios.

Risk Technology Leads
Build and maintain the infrastructure that aggregates, calculates, and reports risk across the organisation in real time.

Portfolio Managers (Cross-Strategy Exposure)
Focused on understanding how risk constraints, model assumptions, and hidden exposures impact performance and drawdowns.