Position Details
About this role
Join ICE's Global Quantitative Research team to drive risk analysis and derivatives pricing models across multiple asset classes, supporting clearing, trading, and risk management activities.
Key Responsibilities
- Drive clearing house margin, stress and collateral management models R&D
- Define business requirements and specifications for model upgrades and enhancements
- Perform risk analysis and develop risk solutions for new products across all asset classes
- Model specific risks such as concentration charges and wrong way risk
- Document and present risk models and risk reports for clearing members, regulators, risk committees and boards
Technical Overview
Heavy emphasis on mathematical finance, derivatives pricing, and risk management with C++ and Python proficiency; strong time series and statistical analysis capabilities; experience with cross-asset product development.
Ideal Candidate
The ideal candidate is a senior quantitative researcher with a PhD/MSc in a quantitative field, strong C++ and Python skills, and demonstrated experience in derivatives pricing and risk management within financial institutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of PhD or MSc in a quantitative field, Lack of strong C++ and Python skills, Inability to work under pressure in a deadline-driven environment
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