Job#: 3036530 Job Description: Job Title: Quantitative Analyst/Developer (Cross-Margin)Location: Charlotte, NC (Hybrid)Contract Length: 12 months (potential to extend)Pay Rate: $81/hr - $87/hrNote: We are unable to consider C2C or third-party submissions.Role OverviewWe are seeking a highly analytical Quantitative Model Developer with strong Python engineering skills and deep familiarity with cross-margining concepts within prime brokerage and capital markets. This role focuses on enhancing and maintaining counterparty credit risk models, with an emphasis on mathematical rigor and hands-on coding. This position requires a strong sense of urgency and responsiveness to ad hoc model requests related to high-impact cross-margin exposures.
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.
- Modernize outdated models using advanced stochastic and capital markets modeling techniques.
- Support modeling across a range of complex financial products, including equity swaps, metals, energy derivatives, and 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.
- Communicate clearly with model owners, business partners, technology teams, auditors, and project managers.
- Provide coaching and technical guidance to junior team members on both modeling and cross-margin concepts.
Required Qualifications
Experience: 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, or education. A strong focus on counterparty credit risk modeling is required.
Technical Skills:- Expert-level Python development experience with the ability to build, structure, and maintain quantitative libraries.
- Strong SQL expertise to query and manipulate large datasets.
- Strong numerical skills and experience with stochastic modeling and capital markets models.
Quantitative Skills:- Deep understanding of cross-margining concepts in prime brokerage or derivatives clearing.
- Ability to derive mathematical formulas and implement them programmatically.
- Solid foundation in probability, statistics, and stochastic processes.
Preferred 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.
- Experience using AI-assisted coding tools (e.g., Copilot).
- Experience mentoring junior analysts or developers.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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