Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
Yesterday
SQLGenerative AIPython
Job Description
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Quantitative Analytics Specialist in Charlotte, NC (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 6 Months
Required Skills & Experience
What You Will Be Doing
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 6 Months
Required Skills & 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, education
- 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.
What You Will Be Doing
- 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
- Modeling & Quantitative Analysis
- 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.
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