Quantitative Analyst - Market Risk Models - London - Inside IR35 - Hybrid (3 Days Office)

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

Contract Quantitative Analyst - Market Risk Models London | Hybrid (3 Days Office) | Contract A leading international financial institution is seeking a Quantitative Analyst to join its Market Risk Modelling team, supporting the development, maintenance and enhancement of quantitative risk models used across global trading businesses. The team is responsible for market risk methodologies covering multiple asset classes and works closely with Risk Management, Technology, Validation and Front Office stakeholders.

Responsibilities

• Develop and maintain market risk models used for risk measurement and control.
• Support Value-at-Risk (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.

Required Experience

• Strong quantitative background within Market Risk, Risk Analytics, Quantitative Research, Model Validation or a related discipline.
• Experience working in banking, capital markets or financial services.
• Strong Python programming skills.
• Good understanding of: Value-at-Risk (VaR) Market Risk methodologies Derivatives products Quantitative modelling techniques Probability and statistics Strong mathematical and analytical capabilities.
• MSc or higher in Mathematics, Statistics, Physics, Quantitative Finance, Engineering, Computer Science or similar quantitative discipline.

Preferred Experience

• Market risk model development experience.
• Stress testing frameworks.
• Exposure to Rates, FX, Credit, Inflation or Equity products.
• Experience interacting with Model Validation and Regulatory teams.
• Knowledge of pricing models and derivative valuation methodologies.

This role would suit a quantitative risk professional with strong Python skills who enjoys combining technical modelling work with practical risk management challenges. Applicants from Market Risk, Quantitative Analytics, Model Validation or adjacent quantitative disciplines are all encouraged to apply.