{"schemaVersion":"jobsearcher.job.v1","id":"494021330b3fc7a5b2b1b148","url":"https://jobsearcher.com/jobs/494021330b3fc7a5b2b1b148","canonicalUrl":"https://jobsearcher.com/jobs/494021330b3fc7a5b2b1b148","title":"Quantitative Developer","description":"About CubistCubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.\r\nRoleDynamically managing portfolio risk by evaluating historical and real-time strategy performance.\r\nOverseeing automated trade execution and monitoring transaction costs.\r\nSupervising a small team of researchers and developers on a daily basis.\r\nDesigning, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.\r\nPerforming research to acquire historical and production data sources needed to build investment models.\r\nDesigning and developing quantitative mathematical algorithms to link the diverse data sets from various providers.\r\nEngineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.\r\nUsing quantitative models to value securities.\r\nConducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.\r\nDeveloping aspects of successful statistical models, focusing on forecasting and optimization.\r\nExpanding trading universe and volume and expanding to other exchanges and products.\r\nRequirementsAdvance degree (Masters or Ph.D.) in a computational or analytical field.\r\nMinimum of 10 years' experience developing, researching or implementing quantitative models for equities, futures and/or FX.\r\nHands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.\r\nInnovative, intellectually driven, with an intense curiosity about financial markets and human behavior.#J-18808-Ljbffr","company":"Quant Blueprint","rawCompany":"quant blueprint","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-21T01:32:06.769Z","occupations":[{"code":"13-2099.01","title":"Financial Quantitative Analysts","slug":"financial-quantitative-analysts"},{"code":"13-2051.00","title":"Financial and Investment Analysts","slug":"financial-and-investment-analysts"},{"code":"15-2021.00","title":"Mathematicians","slug":"mathematicians"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"},{"code":"523150","title":"Investment Banking and Securities Intermediation","slug":"investment-banking-and-securities-intermediation"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quantitative Developer","description":"About CubistCubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.\r\nRoleDynamically managing portfolio risk by evaluating historical and real-time strategy performance.\r\nOverseeing automated trade execution and monitoring transaction costs.\r\nSupervising a small team of researchers and developers on a daily basis.\r\nDesigning, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.\r\nPerforming research to acquire historical and production data sources needed to build investment models.\r\nDesigning and developing quantitative mathematical algorithms to link the diverse data sets from various providers.\r\nEngineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.\r\nUsing quantitative models to value securities.\r\nConducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.\r\nDeveloping aspects of successful statistical models, focusing on forecasting and optimization.\r\nExpanding trading universe and volume and expanding to other exchanges and products.\r\nRequirementsAdvance degree (Masters or Ph.D.) in a computational or analytical field.\r\nMinimum of 10 years' experience developing, researching or implementing quantitative models for equities, futures and/or FX.\r\nHands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.\r\nInnovative, intellectually driven, with an intense curiosity about financial markets and human behavior.#J-18808-Ljbffr","datePosted":"2026-08-21T01:32:06.769Z","dateModified":"2026-08-21T01:32:06.769Z","hiringOrganization":{"@type":"Organization","name":"Quant Blueprint","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"494021330b3fc7a5b2b1b148"},"url":"https://jobsearcher.com/jobs/494021330b3fc7a5b2b1b148"}}