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.
- 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.
- 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.
