Cross-Margin Quantitative Model Developer - NC

Quantitative Analytics Specialist 4 / Cross-Margin Quantitative Model Developer

Location: Charlotte, NC (550 S Tryon St) – Hybrid (3 days onsite)

Contract Length: 12 months (potential to extend)

Pay Rate: $81 - $87

Top Requirements:

1. 5+ years of Quantitative Analytics experience with strong focus on counterparty credit risk modeling
2. Expert-level Python development and strong SQL skills for quant modeling and data analysis
3. Deep understanding of cross-margining concepts within prime brokerage or capital markets

Plusses:

1. Experience with PFE, EE, EAD or similar exposure models
2. Experience in prime brokerage, derivatives clearing, or margin methodology design
3. Familiarity with financial products (equity swaps, commodities, convertibles, energy derivatives)
4. Experience with AI-assisted coding tools (Copilot or similar)
5. Strong experience mentoring junior analysts or developers

Job Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Quantitative Analytics. Review and analyze complex multi-faceted, larger scale or longer-term Quantitative Analytics challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Day-to-Day Responsibilities:

Modeling & Quantitative Analysis

• Develop, enhance, and maintain counterparty credit risk models focusing on cross-margin methodologies
• Derive mathematical formulas and validate assumptions for model accuracy
• Identify gaps in legacy implementations and modernize models using advanced stochastic techniques
• Support modeling across complex financial instruments (equity swaps, commodities, convertibles, energy derivatives)

Technical Development

• Build and maintain Python-based quantitative libraries for model development
• Develop prototype models and collaborate with technology teams for production deployment
• Utilize SQL to query and manage large datasets supporting model validation and reporting
• Leverage AI-assisted development tools (e.g., Copilot) to improve efficiency

Cross-Functional Collaboration

• Partner with model owners, technology teams, auditors, and business stakeholders
• Translate business requirements into model specifications and documentation
• Provide mentorship and technical guidance to junior team members

Operational Delivery

• Respond to urgent model requests related to cross-margin exposure
• Ensure timely delivery of model updates, validations, and documentation
• Maintain high standards for accuracy and responsiveness in a fast-paced environment