Quantitative Risk Analyst: Model Validation & Pricing

Marex; England; On-site; GBP 90,000 - 160,000; Full time

Job summary

Marex is seeking a Risk Quantitative Analytics professional to provide independent validation of pricing and risk models across multiple asset classes. You will validate model implementation in C++, review methodology, and contribute to dataset development for pricing and risk analysis.

The role involves Monte Carlo based modelling, validation documentation in LaTeX, and developing validation tooling. Strong programming in Python and C++ is essential, with advanced degrees in quantitative fields

Qualifications

• Advanced degree in mathematics or related quantitative field.
• Strong programming skills in Python and C++.
• Experience with pricing, risk, and valuation methodologies.

Responsibilities

• Perform independent validation of algorithmic trading models, pricing models, and risk engines, focusing on methodology and controls.
• Review and challenge model implementations in C++ for correctness and alignment with documented methods.
• Validate pricing, VaR, CVA and risk methodologies across asset classes including derivatives.
• Develop and calibrate models for valuation and risk measurement; review parameters to ensure best practice.
• Build and maintain historical datasets for pricing and risk, including time series and volatility surfaces.
• Conduct Monte Carlo and other quantitative analyses to identify embedded risks in new deals.
• Support validation testing using Python and benchmark analyses; document findings clearly.
• Develop tooling and data workflows to improve efficiency of quantitative validation.

Skills

Stochastic Processes

Numerical Analysis

Derivative Pricing

Time Series Analysis

Risk Management

Statistical Modeling

Quantitative Research

Data Analysis

Communication

Education

Masters/PhD in Maths or related field

PhD in Quantitative Finance or Econometrics

Tools

Python

C++

LaTeX

Job description

Marex is seeking a Risk Quantitative Analytics professional to provide independent validation of pricing and risk models across multiple asset classes. You will validate model implementation in C++, review methodology, and contribute to dataset development for pricing and risk analysis.

The role involves Monte Carlo based modelling, validation documentation in LaTeX, and developing validation tooling. Strong programming in Python and C++ is essential, with advanced degrees in quantitative fields