Quantitative Risk Modeling Manager

## About the Role Coinbase's Risk Quant team builds quantitative models to assess and mitigate risks across the platform's risk-bearing products. This role focuses on designing and deploying the automated liquidation machinery that protects the platform during extreme volatility — building algorithms responsible for liquidating distressed portfolios across Spot and Derivatives (Futures, Options) at global scale, optimizing for aggregated risk reduction, trade slippage, and liquidity fragmentation across multiple venues simultaneously. ## Responsibilities - Architect automated risk management systems protecting the platform during extreme market volatility - Build liquidation algorithms that optimize for risk reduction, trade slippage, and liquidity across venues - Deploy quantitative models into production and integrate with execution APIs - Model both Delta-One (Spot/Futures) and Non-Linear (Options/Vol) products - Serve as resident Market Microstructure expert, ensuring liquidation logic meets regulatory standards - Produce quantitative evidence and backtesting results to justify execution decisions to regulators and institutional clients - Lead cross-functional projects across Product, Engineering, and Data Science ## Requirements - PhD or Master's degree in Physics, Mathematics, Statistics, Financial Engineering, or Computer Science - Experience deploying quantitative models into production environments and integrating with execution APIs - Hands-on experience modeling Delta-One and Non-Linear products - Familiarity with modern data pipelines (Airflow) and real-time data streaming (Kafka) - Deep understanding of Almgren-Chriss frameworks, Order Book Dynamics (L1-L3 data), and Auction Theory - Experience with Cross-Margining methodologies - Understanding of crypto market structure nuances: 24/7 trading, fragmented liquidity, on-chain vs. off-chain settlement