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Python Developer / Quant Analytics (Market Risk)

Full-time

Capgemini

Role: Python Developer / Quant Analytics (Market Risk)

Location: New York City, NY

Fulltime

Job Description:

  • Strong hands-on experience in Python development with the ability to build analytical solutions for complex quantitative and market risk use cases.
  • Experience or background in Market Risk Analytics in a plus, including understanding of P&L calculations, P&L vectors, risk metrics, and quantitative data processing.
  • Experience working with large-scale financial datasets and performing complex aggregations, transformations, and analytics on high-volume data.
  • Candidate will focus on developing solutions for pricing analytics, risk analytics, trade analytics, or financial modeling environments.
  • Ability to process and optimize data pipelines handling billions of records, with a focus on performance, scalability, and efficiency.
  • Experience working within global banking or capital markets organizations and handling enterprise-scale financial datasets.
  • Preference for candidates who combine strong quantitative/domain knowledge with technical development skills, rather than purely application development experience.
  • Preference for candidate who has experience solving real-world analytical problems involving vector calculations, complex aggregations, and quantitative data modeling.
  • Familiarity with distributed computing/grid computing platforms and running large-scale analytics workloads is a plus.
  • Ability to collaborate effectively with Quant teams and business stakeholders.
  • Strong communication and problem-solving skills
Vacancy posted 4 days ago
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