{"schemaVersion":"jobsearcher.job.v1","id":"56cdc317a10b365b3fe95026","url":"https://jobsearcher.com/jobs/56cdc317a10b365b3fe95026","canonicalUrl":"https://jobsearcher.com/jobs/56cdc317a10b365b3fe95026","title":"Python Developer / Quant Analytics (Market Risk)","description":"Role: Python Developer / Quant Analytics (Market Risk)Location: New York City, NYFulltimeJob 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","company":"Capgemini","rawCompany":"capgemini","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-01T23:14:22.181Z","occupations":[{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2051.00","title":"Financial and Investment Analysts","slug":"financial-and-investment-analysts"}],"industries":[{"code":"523150","title":"Investment Banking and Securities Intermediation","slug":"investment-banking-and-securities-intermediation"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer / Quant Analytics (Market Risk)","description":"Role: Python Developer / Quant Analytics (Market Risk)Location: New York City, NYFulltimeJob 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","datePosted":"2026-10-01T23:14:22.181Z","dateModified":"2026-10-01T23:14:22.181Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"56cdc317a10b365b3fe95026"},"url":"https://jobsearcher.com/jobs/56cdc317a10b365b3fe95026"}}