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ARB

Model Validation Quant

High Demand$110K – $280K+
Model Validation Quants are the quality assurance layer of quantitative finance. They independently review and stress-test models built by other quants to ensure they're mathematically sound, properly calibrated, and not overfit to historical data. This role became critical after the 2008 crisis, when regulators mandated independent model validation (SR 11-7 in the US). MV quants need to understand every model in the firm's arsenal — from simple VaR to exotic derivatives pricing — well enough to identify weaknesses. The V7 engine's S21 (PBO Calculator) and S31 (Walk-Forward Validation) are exactly the tools MV quants use.
8
Core Skills
6
Key Tools
10
Lessons
5
Career Stages

A Day in the Life

The front office submitted a new credit risk model for validation. You start by reviewing the methodology document — 45 pages of stochastic processes and calibration procedures. Something looks off in the correlation assumptions. You build an independent implementation in Python and compare outputs: your model produces 15% higher capital requirements. After investigating, you find they're using a simplified copula that underestimates tail dependence. You write a detailed validation report with recommendations.

Core Skills

1
Model Risk Assessment
2
Backtesting Validation
3
Sensitivity Analysis
4
Benchmark Comparison
5
Documentation Review
6
PBO Analysis
7
Walk-Forward Testing
8
Regulatory Compliance (SR 11-7)

Tools & Technologies

PythonRExcelSQLInternal model librariesValidation frameworks

Prerequisites

Broad Quant Knowledge
Statistical Testing
Model Risk Understanding
Regulatory Awareness

Career Progression

MV Analyst
Model Validation Quant
Senior MV Quant
Head of Model Validation
Chief Model Risk Officer

Curriculum

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