Senior Model Risk Analyst - Derivatives & Clearing

ICE

Greater London

On-site

GBP 70,000 - 110,000

Full time

14 days+
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Job summary

ICE Clear Europe is a leading clearing house delivering central counterparty clearing and risk management across global energy, interest rate, equity index, and agricultural derivatives. The Senior Model Risk Analyst will validate and monitor pricing and risk models, ensuring accuracy, robustness and regulatory compliance across margin, add-ons and stress testing frameworks.

This is a technically focused role within the Model Risk Management team in a flat organization near the centre of global

Qualifications

  • Advanced degree in a quantitative field.
  • Experience in model validation and risk analytics.
  • Strong Python and SQL data analysis skills.
  • Knowledge of VaR, backtesting, and stress testing.

Responsibilities

  • Conduct independent validation of risk and pricing models and review stress testing frameworks.
  • Document validation findings, communicate risks, and recommend improvements.
  • Continuously monitor model performance and drive risk mitigating actions.
  • Provide guidance on model usage and act as a stakeholder for new models.
  • Review model changes and calibration proposals.
  • Stay updated on evolving market practices and regulatory requirements.
  • Provide technical interpretations to regulatory texts.
  • Utilise programming skills to execute validation tasks and develop analytics tools.

Skills

Python
SQL
VaR
Backtesting
Stress Testing
Communication

Education

MSc/PhD in Mathematics/Statistics/Quantitative Finance

Job description

ICE Clear Europe is a leading clearing house delivering central counterparty clearing and risk management across global energy, interest rate, equity index, and agricultural derivatives. The Senior Model Risk Analyst will validate and monitor pricing and risk models, ensuring accuracy, robustness and regulatory compliance across margin, add-ons and stress testing frameworks.

This is a technically focused role within the Model Risk Management team in a flat organization near the centre of global

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