Quantitative Model Developer

Job Summary

To support counterparty credit risk modeling initiatives, the full-time CrossMargin Quantitative Model Developer will develop and maintain credit risk models, validate assumptions, and enhance existing methodologies while working in a hybrid environment based in Charlotte, NC.

Key responsibilities

• Develop, enhance, and maintain counterparty credit risk models related to crossmargin methodologies
• Derive analytical formulas, validate assumptions, and identify gaps in existing implementations
• Lead the integration of Python-based quantitative libraries to support model development and validation activities

Required qualifications

• 5+ years of Quantitative Analytics experience or equivalent demonstrated through work, training, military experience, or education
• Expertise in Python programming, including building and maintaining quantitative libraries
• Strong SQL skills for database querying and data manipulation
• Deep understanding of crossmargining concepts within prime brokerage or derivatives clearing
• Solid foundation in probability, statistics, and stochastic processes