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Quantitative Analytics Specialist

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Motion Recruitment Partners LLC
Full Time position
Listed on 2026-09-04
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Quantitative Analytics Specialist 4

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,

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.
Desired Skills & Experience
  • Experience in prime brokerage or margin methodology design.
  • Prior work with counter party 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 counter party 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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