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# Python Developer / Quant Analytics (Market Risk)

- **Company:** Capgemini
- **Location:** New York, NY, 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.thejobnetwork.com/job/3e1e6c95-f1ab-47fc-8277-03adf531bcfe/python-developer-quant-analytics-market-risk

## About the Role

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