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ALP

Pricing / Derivatives Quant

High Demand$130K – $400K+
Pricing Quants work in the most mathematically intense area of quantitative finance. They develop models to price financial derivatives — options, swaps, structured products — using stochastic calculus, partial differential equations, and numerical methods. This is the original "quant" role, pioneered by Black, Scholes, and Merton. While the field has evolved enormously, the core challenge remains: how do you assign a fair price to an instrument whose payoff depends on future uncertainty? Pricing quants answer this using a combination of elegant mathematics and brute-force computation.
8
Core Skills
7
Key Tools
10
Lessons
6
Career Stages

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

1
Black-Scholes Framework
2
Volatility Surface Modeling
3
Monte Carlo Pricing
4
PDE Solvers
5
Greeks Computation
6
Exotic Option Pricing
7
Interest Rate Models
8
Credit Risk Models

Tools & Technologies

PythonC++QuantLibMATLABnumpyscipyBloomberg

Prerequisites

Stochastic Calculus
PDEs
Numerical Methods
Financial Derivatives Theory

Career Progression

Junior Pricing Quant
Pricing Quant
Senior Quant
Quant Strategist
Head of Quant
Managing Director

Curriculum

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