{"schemaVersion":"jobsearcher.job.v1","id":"64d391412efb11d312498e0c","url":"https://jobsearcher.com/jobs/64d391412efb11d312498e0c","canonicalUrl":"https://jobsearcher.com/jobs/64d391412efb11d312498e0c","title":"Python Developer","description":"Python Developer / Lead Data Engineer - New YorkA well established trading firm is actively looking for a lead data engineer to play a pivotal part in their growing systematic team.Based in New York, the business has been around for over 3 decades and is now managing over $10bn in assets.You'd be joining their dedicated quant team at the early stages of it's growth - working alongside the team lead. You will be responsible for implementing new alphas into production on a daily basis and developing/managing a next generation data platform, which includes data pipelines and data access APIs.The right candidate will have OOP Python, PySpark and Pandas and will have worked in a systematic trading environment previously. Experience developing machine learning models and strong statistical knowledge is also beneficial.You need a minimum of 5 years worth of experience working within a systematic trading firm - working on data pipelines. Additionally, you need to have had exposure to equity trading strategies - this is an essential requirement.The firm are willing to pay a highly competitive compensation package to attract the best in the space - with this being a priority hire for the business (comp range shared upon initial call).ResponsibilitiesAnalysing and cleaning large datasets - both alternative and fundamentalBuilding, managing and maintaining the groups data platformHelping productionise systematic strategiesRequirementsMinimum of 5 years worth of experience working in a systematic trading environmentStrong statistical knowledge and modeling skillsStrong coder - particularly in python and Pyspark (essential)Experience cleaning and analysing vast datasetsExposure to equity trading strategies","company":"Bowden Brown","rawCompany":"bowden brown","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-04-12T16:08:58.937Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"523150","title":"Investment Banking and Securities Intermediation","slug":"investment-banking-and-securities-intermediation"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer","description":"Python Developer / Lead Data Engineer - New YorkA well established trading firm is actively looking for a lead data engineer to play a pivotal part in their growing systematic team.Based in New York, the business has been around for over 3 decades and is now managing over $10bn in assets.You'd be joining their dedicated quant team at the early stages of it's growth - working alongside the team lead. You will be responsible for implementing new alphas into production on a daily basis and developing/managing a next generation data platform, which includes data pipelines and data access APIs.The right candidate will have OOP Python, PySpark and Pandas and will have worked in a systematic trading environment previously. Experience developing machine learning models and strong statistical knowledge is also beneficial.You need a minimum of 5 years worth of experience working within a systematic trading firm - working on data pipelines. Additionally, you need to have had exposure to equity trading strategies - this is an essential requirement.The firm are willing to pay a highly competitive compensation package to attract the best in the space - with this being a priority hire for the business (comp range shared upon initial call).ResponsibilitiesAnalysing and cleaning large datasets - both alternative and fundamentalBuilding, managing and maintaining the groups data platformHelping productionise systematic strategiesRequirementsMinimum of 5 years worth of experience working in a systematic trading environmentStrong statistical knowledge and modeling skillsStrong coder - particularly in python and Pyspark (essential)Experience cleaning and analysing vast datasetsExposure to equity trading strategies","datePosted":"2026-04-12T16:08:58.937Z","dateModified":"2026-04-12T16:08:58.937Z","hiringOrganization":{"@type":"Organization","name":"Bowden Brown","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"64d391412efb11d312498e0c"},"url":"https://jobsearcher.com/jobs/64d391412efb11d312498e0c"}}