Options Pricing Quant Interview Guide
Options pricing quant interview guide for payoffs, moneyness, volatility, no-arbitrage, Greeks, examples, and practical caveats.
Candidates preparing for derivatives, market making, and quant trading interviews.
Option price comes from payoff and uncertainty
An option value depends on payoff shape, underlying price, strike, time to expiry, rates, dividends, and volatility. In interviews, start with the payoff before naming a model.
No-arbitrage gives structure
Many option pricing relationships come from replication or no-arbitrage logic. Put-call parity, binomial trees, and delta hedging all rely on matching payoffs under assumptions.
Concrete example
A call option becomes more valuable when volatility rises because upside becomes more likely while downside is limited to the premium. The exact price still depends on model assumptions.
Greeks explain risk
Delta, gamma, theta, and vega describe sensitivities of the option price to underlying price, curvature, time, and volatility. They are risk lenses, not complete risk guarantees.
Common mistakes
Candidates often jump to Black-Scholes without explaining payoff intuition. A stronger answer starts with payoff, then adds volatility, no-arbitrage, and risk sensitivities.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.