Cross‑Margin Quantitative Model Developer

Strategic Staffing Solutions; Charlotte (NC); Hybrid; USD 110,000 - 139,000; Full time

Job summary

Strategic Staffing Solutions in Charlotte, NC is seeking a Cross-Margin Quantitative Model Developer to join a hybrid team on a 12+ month engagement. You will build and maintain cross-margin counterparty credit risk models, derive formulas, and implement them with Python in production-like environments.

The role requires expert Python, SQL, and stochastic modeling skills, with experience in capital markets and cross-margin concepts.

Qualifications

• Expert level Python for building, structuring and maintaining quant libraries.
• Experience with AI-assisted coding tools (Copilot or similar).
• Strong SQL skills to query and manipulate large datasets.
• Solid numerical background with stochastic modeling and capital markets knowledge.
• Ability to derive mathematical formulas and implement them programmatically.
• Deep understanding of cross-margin concepts in prime brokerage or derivatives clearing.
• Ability to identify and fix model gaps, inconsistencies, or legacy issues.
• Strong foundation in probability, statistics, and stochastic processes.

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• Improve or replace outdated models using modern stochastic and capital markets modeling techniques.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 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.

Skills

Python

SQL

Stochastic modeling

Cross-margin concepts

Capital markets

Copilot usage

Tools

Copilot

Python libraries

Job description

Job Title: Cross-Margin Quantitative Model Developer – Hiring FAST!
Industry: Finance
Location: Charlotte, NC
Pay Rate: $80-101HR on W2 Only – NO C2C
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.