Cross-Margin Quant Model Developer

Salary: $56,000 - 80,500 per year Requirements:

• Expert-level Python skills with the ability to design, structure, and maintain quantitative libraries.
• Strong SQL knowledge for querying and working with large datasets.
• Experience using AI-assisted coding tools such as Copilot or similar.
• Solid numerical capability and hands-on experience with stochastic modeling and capital markets models.
• Ability to derive mathematical formulas and convert them into working code.
• Deep understanding of cross-margining concepts in prime brokerage or derivatives clearing.
• Ability to spot and fix model gaps, inconsistencies, and legacy issues.
• Strong grounding in probability, statistics, and stochastic processes.
• Experience in prime brokerage or margin methodology design is preferred.
• Prior exposure to counterparty credit exposure models such as PFE, EE, or EAD is preferred.
• Familiarity with equities, commodities, energy, and structured derivatives is preferred.
• Charlotte-based candidates are strongly preferred.

• Develop, enhance, and maintain counterparty credit risk models tied to cross-margin methodologies.
• Derive analytical formulas, test assumptions, and uncover gaps in existing implementations.
• Modernize outdated models using current stochastic and capital markets modeling techniques.
• Support modeling across complex products such as equity swaps, metals, energy derivatives, and convertible bonds.
• Build and integrate Python-based quantitative libraries for model development and validation.
• Create robust prototype models and work with technology teams to move them into production.
• Use generative AI coding tools to improve development speed and automation.
• Collaborate on database queries and data manipulation using SQL.
• Communicate with model owners, business partners, technology teams, auditors, and project managers.
• Translate business needs into quant/model specifications and supporting documentation.
• Coach junior team members on modeling and cross-margin concepts.
• Respond promptly to urgent model requests related to high-impact cross-margin exposures.
• Deliver model enhancements, documentation, and validations in a timely manner.

• AI
• Copilot
• Support
• MS Teams
• Python
• Quant
• SQL

More:

We are part of Contingent Solutions within Counterparty Credit Risk Modeling, and we are seeking a highly analytical Quantitative Model Developer for a hybrid role in Charlotte, NC, with three days per week in the office. This is a 12-month assignment with potential to extend, and the hiring process includes a 30-minute MS Teams interview with a possible second round. Our primary focus is vendor-model development using Hanweck for equity option pricing, volatility surfaces, and stressed or shocked-scenario P&L, supporting an options go-live targeted for April 2027. We need someone who brings mathematical rigor, strong Python engineering skills, and a sense of urgency for high-impact cross-margin work across CIB markets.

last updated 36 week of 2026