Cross-Margin Quantitative Model Developer (Python / Counterparty Risk)

Company: S3
Location: Charlotte
Posted on: April 1, 2026

Job Description:

Job Description Cross-Margin Quantitative Model Developer (Python / Counterparty Risk) Location: Charlotte (Hybrid – 3 days onsite) Duration: 12-Month Contract (Extension Possible) Overview We are seeking a Quantitative Model Developer with deep expertise in cross-margining and counterparty credit risk (CCR) within capital markets. This role focuses on enhancing and modernizing cross-margin risk models used across complex derivative portfolios. The ideal candidate combines strong mathematical modeling skills with hands-on Python development , and has experience working in prime brokerage or derivatives environments . Key Responsibilities Quantitative Modeling Develop and enhance counterparty credit risk models (CCR) Design and improve cross-margin methodologies Derive and implement mathematical models and formulas Identify gaps and improve legacy model frameworks Product Coverage Model exposure across: Equity swaps Commodities (metals, energy) Convertible bonds Technical Development Build and maintain Python-based quant libraries Develop prototypes and partner with engineering teams for production rollout Utilize tools like GitHub Copilot for development efficiency Write and optimize SQL queries for large datasets Collaboration & Leadership Partner with model owners, risk teams, and technology stakeholders Translate business requirements into quant specifications Mentor junior team members on modeling and cross-margin concepts Operational Execution Support high-priority, time-sensitive model requests Deliver enhancements and validations aligned with business needs Required Qualifications Strong experience in cross-margining (prime brokerage or derivatives clearing) Deep understanding of counterparty credit risk (CCR) models Expertise in Python (quant library development) Strong SQL skills Advanced knowledge of: Probability & statistics Stochastic processes Financial modeling Preferred Qualifications Experience with PFE, EE, EAD models Background in prime brokerage or margin methodology design Exposure to multi-asset derivatives (equities, commodities, structured products) Experience using AI-assisted coding tools (e.g., Copilot) Skill Breakdown Cross-Margin Expertise: 50% (MOST IMPORTANT) Quant / Math Modeling: 30% Python / SQL: 20%

Keywords: S3, Gastonia , Cross-Margin Quantitative Model Developer (Python / Counterparty Risk), Accounting, Auditing , Charlotte, North Carolina