Risk Analyst

Risk Analyst

ICE Clear Europe’s Clearing Risk Department (“CRD”) is seeking a Risk Analyst. The successful candidate will assist senior risk managers in overseeing and shaping the risk management practice at one of the largest futures and options clearing houses globally. This role offers the chance to join a dynamic team, gain exposure to a wide range of asset classes, and be challenged with complex risk problems. Responsibilities include managing day-to-day risk management tasks and aiding in the development and implementation of enhancements to risk management tools, models, and processes. The analyst will also participate in the design and implementation of new risk initiatives and products that benefit the business.

Responsibilities

• Conduct mathematical and statistical analysis to calibrate and enhance risk models.
• Ensure that the risk management framework and risk policies adhere to regulatory and industry standards.
• Assist in identifying areas for improvement within risk models, risk management processes, or infrastructure.
• Enhance documentation related to risk processes, procedures, and models.
• Assist in communication with representatives from clearing members, risk committees, and senior management at ICE.
• Build and maintain risk management reports for the ICE Clear Europe board, various risk committees, and regulators overseeing ICE Clear Europe.
• Monitor model performance tests and assess model appropriateness to demonstrate policy adherence.
• Collaborate with colleagues on key policy and methodology development.
• Conduct project work and run thematic or ad-hoc market research on relevant risk topics.

Knowledge and Experience

• Degree in Mathematics, Engineering, Finance, or equivalent.
• Strong attention to detail and problem-solving skills with the ability to balance trade-offs.
• Prior risk management experience (internship or professional role at an investment bank, hedge fund, or clearing house) is an advantage.
• Strong knowledge of financial derivatives products across multiple asset classes is preferred.
• Prior experience applying risk management models and techniques such as Value at Risk (VaR), Liquidity Risk models, backtesting, and stress testing models is an advantage.
• Proven ability to be a team player and collaborate effectively across teams.
• Ability to conduct research, analyze problems, formulate, and implement solutions efficiently, effectively, and independently.
• Experience with SQL and Python.
• Excellent written and verbal communication skills.