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# Python Developer/Quant Analytics (Market Risk)

- **Company:** Capgemini
- **Location:** Jersey City, NJ, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Distributed Systems, Python (Programming Language), Software Engineering, Data Processing, Grid Computing, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5940747304

## About the Role

Must have: Strong hands-on experience in Python development, Quantitative analytics and Market risk experience., * 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