Applied Risk Management for Quantitative Strategies: Long-Term Portfolio Resilience

A risk framework designed in a calm market environment will be tested in a volatile one. The question is not whether your risk model will be stressed — it will be — but whether you have thought through how you will respond when it is. This course addresses the harder, longer-term challenge of maintaining a quantitative risk practice under real market conditions: adapting sizing when volatility regimes shift, managing correlated drawdowns across multiple strategies, and knowing when a strategy's risk profile has changed enough to warrant suspension. By the end of this course you will be able to detect volatility regime changes using realised volatility measures and adjust position sizing accordingly, evaluate whether a current drawdown is within the strategy's historical distribution or signals a structural change, build a multi-strategy portfolio risk report that identifies correlation clustering during stress events, and design a strategy review protocol triggered by specific risk thresholds. What you will learn: - Volatility-scaled position sizing: adjusting size inversely with realised volatility to maintain consistent risk per trade - Regime detection methods: rolling volatility windows, VIX-based conditioning, and trend filter applications - Drawdown analysis in real time: comparing current drawdown to historical drawdown distribution for go/no-go decisions - Correlation breakdown during market stress: why diversification benefits often collapse exactly when needed most - Multi-strategy risk aggregation: combining strategy-level risk metrics into a portfolio-level risk report - Strategy review triggers: drawdown threshold, Sharpe degradation, and parameter sensitivity as review criteria - Risk capacity and account sizing: how to match strategy risk parameters to available capital and personal loss tolerance - Documenting risk decisions: building an audit trail for sizing changes and strategy suspensions The course uses extended case studies — a multi-strategy portfolio during a sudden volatility spike, a mean-reversion strategy whose drawdown crosses its historical maximum, a trend-following system losing consistency during a choppy, low-trend-strength period. Reflection prompts ask you to reason through each risk decision before reading the worked analysis. Templates for volatility-adjusted sizing and portfolio risk reporting are included as reference material. This course is designed for quantitative traders with existing systematic strategies who want to build a more robust and adaptive risk management practice. Written for those who are no longer new to risk concepts but have not yet formalised a real-time risk framework. This course is informational and educational and does not constitute financial or investment advice. Past performance metrics described in examples do not guarantee future results.