Python Developer / Quant Analytics (Market Risk)
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Python Developer / Quant Analytics (Market Risk)
New York City, NY
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Experience
5–8 yrs
Salary
₹11.8 – 17.4 LPA (est.)
Job type
Full-time
Openings
1
Education
Any graduate
Apply by
18 Oct 2026
Capgemini is seeking a Python Developer for Quant Analytics in Market Risk to build analytical solutions for complex quantitative and market risk use cases. The ideal candidate will work within global banking or capital markets environments to handle enterprise-scale financial datasets and high-volume data analytics.
- Develop solutions for pricing analytics, risk analytics, trade analytics, and financial modeling environments
- Process and optimize data pipelines handling billions of records with a focus on performance and scalability
- Collaborate effectively with Quant teams and business stakeholders
- Strong hands-on experience in Python development for quantitative and market risk use cases
- Experience in Market Risk Analytics including P&L calculations, risk metrics, and quantitative data processing
- Experience working with large-scale financial datasets and performing complex aggregations and transformations
- Familiarity with distributed computing or grid computing platforms
Skills
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