Pricing / Derivatives Quant
A Day in the Life
“A trader asks you to price a barrier option on a basket of 5 commodities with knock-in at 110% and knock-out at 80%. No closed-form solution exists. You set up a Monte Carlo pricer with antithetic variates and control variates for variance reduction. The correlation matrix is calibrated from 3 months of daily returns. After 1M paths, the price converges: $2.34 ± $0.05. You also compute the Greeks: delta, gamma, vega, theta, and the basket-specific "basket delta."”
Core Skills
Tools & Technologies
Prerequisites
Career Progression
Curriculum
Related Tracks
Risk Quant
Model, measure, and manage financial risk using VaR, CVaR, stress testing, and Monte Carlo methods.
Model Validation
Independently validate quantitative models to ensure accuracy, robustness, and regulatory compliance.
Quant Researcher
Discover and validate tradable alpha signals using rigorous statistical methods and machine learning.