Quant Analytics Specialist: Counterparty Risk Modeling

ManpowerGroup Global, Inc.

Charlotte (NC)

On-site

USD 120,000 - 180,000

Part time

2 days ago
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Job summary

ManpowerGroup Global, Inc. in Charlotte, NC is seeking a Quantitative Analytics Specialist 4 - Contingent to join the Contingent Solutions team. You will develop and maintain counterparty credit risk models and contribute to cross-margin methodologies.

The role requires strong Python and SQL skills, plus a solid foundation in stochastic modeling, quantitative finance, and mathematical derivations. You will collaborate with model owners, business stakeholders, tech teams, auditors and project

Qualifications

  • Expertise in Python for developing quantitative libraries and frameworks.
  • Strong SQL skills for querying large datasets.
  • Deep understanding of cross-margining within prime brokerage and derivatives environments.
  • Ability to derive mathematical formulas and implement them programmatically.
  • Experience with stochastic modeling and quantitative finance principles.

Responsibilities

  • Develop, enhance, and maintain counterparty credit risk models.
  • Derive analytical formulas, validate modeling assumptions, and identify gaps.
  • Improve or replace legacy methodologies with modern techniques.
  • Model complex products like equity swaps, metals and energy derivatives, convertibles.
  • Collaborate with model owners, stakeholders, technology teams, auditors, and PMs.

Skills

Python
SQL
Cross-margining concepts
Mathematical formulas
Stochastic modeling
Quantitative finance

Job description

ManpowerGroup Global, Inc. in Charlotte, NC is seeking a Quantitative Analytics Specialist 4 - Contingent to join the Contingent Solutions team. You will develop and maintain counterparty credit risk models and contribute to cross-margin methodologies.

The role requires strong Python and SQL skills, plus a solid foundation in stochastic modeling, quantitative finance, and mathematical derivations. You will collaborate with model owners, business stakeholders, tech teams, auditors and project

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