Quantitative Clearing Risk Analyst

Intercontinental Exchange Holdings, Inc.; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

Intercontinental Exchange Holdings, Inc. is seeking a Risk Analyst for ICE Clear Europe’s Clearing Risk Department. You will assist senior risk managers in overseeing risk practices across multiple asset classes and play a key role in developing enhancements to risk tools and processes.

You will calibrate risk models, ensure policy adherence, and communicate with boards, risk committees and clearing members. A strong quantitative background and experience with SQL/Python are advantageous.

Qualifications

• :Degree in Mathematics, Engineering, Finance or equivalent.
• :

Responsibilities

• Conduct mathematical/statistical analysis to calibrate risk models.
• Ensure the risk management framework and policies align with regulatory standards.
• Assist with identifying improvements to risk models and processes.
• Enhance documentation of risk procedures and models.
• Communicate with clearing members, risk committees and senior ICE stakeholders.
• Build and maintain risk management reports for ICE Clear Europe boards and regulators.
• Monitor model performance tests and assess model appropriateness.
• Collaborate on policy and methodology development and conduct market research.

Skills

Analytical mindset

Risk management

Problem solving

Communication skills

Team collaboration

Derivative products knowledge

Education

Degree in Mathematics, Engineering, Finance

Tools

SQL

Python

Job description

Intercontinental Exchange Holdings, Inc. is seeking a Risk Analyst for ICE Clear Europe’s Clearing Risk Department. You will assist senior risk managers in overseeing risk practices across multiple asset classes and play a key role in developing enhancements to risk tools and processes.

You will calibrate risk models, ensure policy adherence, and communicate with boards, risk committees and clearing members. A strong quantitative background and experience with SQL/Python are advantageous.