Quantitative Risk Analyst: Model Validation & Pricing

Marex; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Marex is seeking a Quantitative Analyst for risk analytics and model validation in a fast-paced, data-driven environment. You will work with risk, front office, finance and technology to validate pricing models, risk engines and trading tools across multiple asset classes.

The role emphasizes model development, historical data work, Monte Carlo analyses and documentation, with opportunities to contribute to validation tooling and reporting. Strong academics and programming chops are essential.

Qualifications

• Strong quantitative and analytical capabilities including stochastic processes, numerical analysis and derivative pricing.
• Expertise in risk management of futures, options and VaR, stress testing and option valuation theory.
• Excellent programming knowledge in Python and C++ with ability to validate complex models.

Responsibilities

• Perform independent validation of algorithmic trading models, pricing models, and risk engines.
• Review and challenge model implementation in C++, ensuring alignment with documented methodology.
• Validate pricing, VaR, CVR and margining methodologies across asset classes, including derivatives.

Skills

Quantitative methods

Risk management

Programming (Python)

Programming (C++)

Model validation

Data analysis

LaTeX documentation

Education

Masters/PhD in Maths/Physics/Finance

Tools

Python

C++

Job description

Marex is seeking a Quantitative Analyst for risk analytics and model validation in a fast-paced, data-driven environment. You will work with risk, front office, finance and technology to validate pricing models, risk engines and trading tools across multiple asset classes.

The role emphasizes model development, historical data work, Monte Carlo analyses and documentation, with opportunities to contribute to validation tooling and reporting. Strong academics and programming chops are essential.