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 3 days ago
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