Hybrid Quant Risk Modeler - VaR & Stress Testing

Investigo; Greater London; Hybrid; GBP 111,000 - 166,000; Part time

Job summary

Unknown is seeking a Contract Quantitative Analyst to join its Market Risk Modelling team in London with a hybrid work pattern (3 days in the office). The role focuses on developing, maintaining and enhancing quantitative risk models used across global trading businesses and risk management functions.

The ideal candidate has a strong quantitative background, experience in banking or capital markets, and solid Python programming skills.

Qualifications

• Strong quantitative background in Market Risk, Risk Analytics or Model Validation.
• Experience in banking, capital markets or financial services.
• MSc or higher in Mathematics, Statistics, Physics, Quantitative Finance, Engineering or Computer Science.

Responsibilities

• Develop and maintain market risk models used for risk measurement and control.
• Support VaR and stress testing methodologies.
• Enhance model controls, monitoring frameworks and statistical analysis.
• Investigate model issues, identify weaknesses and propose improvements.
• Support implementation and testing of model and system changes.
• Assist with new product and payoff onboarding.
• Work with validation teams to address model findings and recommendations.
• Support business and risk stakeholders with quantitative investigations.
• Contribute to broader risk transformation and strategic initiatives.

Skills

Quantitative analysis

Statistical methods

Risk modelling

Education

MSc or higher in quantitative field

Tools

Python

Job description

Unknown is seeking a Contract Quantitative Analyst to join its Market Risk Modelling team in London with a hybrid work pattern (3 days in the office). The role focuses on developing, maintaining and enhancing quantitative risk models used across global trading businesses and risk management functions.

The ideal candidate has a strong quantitative background, experience in banking or capital markets, and solid Python programming skills.