{"schemaVersion":"jobsearcher.job.v1","id":"cfa9567a17007314de346e9a","url":"https://jobsearcher.com/jobs/cfa9567a17007314de346e9a","canonicalUrl":"https://jobsearcher.com/jobs/cfa9567a17007314de346e9a","title":"Python Developer/Quant Analytics (Market Risk)","description":"Position: Python Developer/Quant Analytics (Market Risk)Location: Jersey City, NJ (Hybrid).Type: Fulltime/Permanent.Must have: Strong hands-on experience in Python development, Quantitative analytics and Market risk experience.Job DescriptionStrong 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 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