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Cross‑Margin Quantitative Model Developer
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Scorecard
Based on North Carolina data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$108,445 / year median in North Carolina
+21% projected growth
Job Description
Job Title:
Cross-Margin Quantitative Model Developer
•Hiring FAST!
Industry:
Finance Location:
Charlotte, NC Pay Rate:
$70-95HR on W2 Only
•NO C2
C Setting:
Hybrid Required (Remote is NOT an Option)
Duration:
12+ months
Job ID:
247878
Required Qualifications:
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.
Desired Qualifications:
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.
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 Improve or replace outdated models using modern stochastic and capital markets modeling techniques.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 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. 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. 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.