Description
Title: Cross‑Margin Quantitative Model Developer
Location: Charlotte, NC
Duration: 12 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
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 Required Qualifications: Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
Key Responsibilities:
Develop, enhance, and maintain counterparty credit risk models related to cross‑margin methodologies.
Derive analytical formulas, validate assumptions, and identify gaps in existing implementations.
Improve or replace outdated models using modern stochastic and capital markets modeling techniques.
Support modeling across a range of complex financial products, including:
Equity swaps
Metals
Energy derivatives
Convertible bonds
Technical Development
Lead the build‑out and integration of Python-based quantitative libraries to support model development and validation activities.
Produce robust prototype models and partner with technology teams to transition them into production.
Utilize generative AI development tools (e.g., Copilot) to increase coding efficiency and automation.
Collaborate on database queries using strong SQL expertise.
Cross‑Functional Collaboration
Communicate clearly with model owners, business partners, technology teams, auditors, and project managers.
Help translate business requirements into quant/model specifications and documentation.
Provide coaching and technical guidance to junior team members on both modeling and cross‑margin concepts.
Operational Readiness
Respond quickly to urgent model requests driven by high-impact cross‑margin exposures in the CIB business.
Ensure timely delivery of model enhancements, documentation, and validations.
Key Requirements:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Python (expert level) - ability to build, structure, and maintain quant libraries.
Experience using AI-assisted coding tools (Copilot or similar).
SQL expertise - ability to query and manipulate large datasets.
Strong numerical skills and experience with stochastic modeling and capital markets models.
Ability to derive mathematical formulas and implement them programmatically.
Strong understanding of cross‑margining concepts in prime brokerage or derivatives clearing.
Ability to identify and correct model gaps, inconsistencies, or legacy issues.
Solid foundation in probability, statistics, and stochastic processes.
Experience in prime brokerage or margin methodology design.
Prior work with counterparty credit exposure models (e.g., PFE, EE, EAD).
Familiarity with equities, commodities, energy, and structured derivative products.
Candidates located in Charlotte are strongly preferred; two existing team members are based here.
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