{"schemaVersion":"jobsearcher.job.v1","id":"4b58ae60b5f132fadf7baba2","url":"https://jobsearcher.com/jobs/4b58ae60b5f132fadf7baba2","canonicalUrl":"https://jobsearcher.com/jobs/4b58ae60b5f132fadf7baba2","title":"Quantitative Developer [Python]","description":"NO C2C / 3RD PARTIESAbout the OpportunityA leading investment management firm is seeking a Quantitative Developer to help build and scale the technology platform that supports research, trading, risk, and data across the organization.This role is ideal for a hands-on technologist who enjoys operating at the intersection of software engineering, quantitative finance, data infrastructure, and trading technology. You will work closely with investment professionals, researchers, and technology leadership to design, develop, and enhance systems that support the firm's investment process.This is a highly visible position offering significant ownership and the opportunity to influence platform architecture and technology direction.ResponsibilitiesPlatform Development & IntegrationDesign, build, and enhance core investment technology platformsDevelop APIs, services, and internal tools supporting research, trading, and operational workflowsIntegrate disparate systems and datasets into a scalable, unified platformContribute to technology architecture and platform design decisionsSupport the full software development lifecycle from design through production deploymentQuantitative Research & Trading SupportPartner with quantitative researchers and investment teams to deploy models and analytics into production environmentsBuild tools and workflows that enable efficient research, testing, and deployment of investment strategiesSupport systems across multiple asset classes including equities, futures, options, fixed income, and derivativesData EngineeringBuild and maintain market data, reference data, and internal data pipelinesIntegrate third-party and proprietary data sources into the firm's technology ecosystemEnsure data quality, consistency, monitoring, and observability across platformsSupport data architecture and storage initiativesDevOps & InfrastructureMaintain and enhance CI/CD pipelines and development workflowsSupport containerized applications and cloud-native environmentsImprove monitoring, logging, automation, and platform reliabilityContribute to infrastructure modernization initiativesRequirements5+ years of software engineering experience within financial services, investment management, hedge funds, trading firms, or fintech environmentsStrong programming skills in PythonExperience with at least one additional object-oriented language such as C#, C++, or JavaExperience building scalable APIs, distributed systems, and production-grade softwareStrong SQL and data engineering capabilitiesFamiliarity with market data, trading systems, risk systems, or quantitative research platformsSolid understanding of software engineering best practices, including testing, version control, CI/CD, and code reviewsAbility to work independently and take ownership of projects from concept through deliveryStrong communication skills and willingness to collaborate with both technical and non-technical stakeholdersPreferred ExperienceBuy-side, hedge fund, or asset management experienceExperience supporting quantitative research or systematic trading environmentsKnowledge of options, futures, fixed income, derivatives, or risk systemsSnowflake, Azure, AWS, or other cloud technologiesDocker and KubernetesExperience with modern data platforms and data pipeline designExposure to AI-assisted development tools and modern engineering workflowsWhat You'll BringA problem-solving mindset and willingness to challenge existing approachesThe ability to understand business problems and translate them into scalable technical solutionsExperience working in fast-paced, collaborative environmentsA passion for building high-quality technology that directly impacts investment outcomesIf you're excited by the prospect of building technology that powers investment decisions and trading workflows, we'd love to hear from you.","company":"Selby Jennings","rawCompany":"selby jennings","city":"Bel Air","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-08-06T09:45:12.382Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quantitative Developer [Python]","description":"NO C2C / 3RD PARTIESAbout the OpportunityA leading investment management firm is seeking a Quantitative Developer to help build and scale the technology platform that supports research, trading, risk, and data across the organization.This role is ideal for a hands-on technologist who enjoys operating at the intersection of software engineering, quantitative finance, data infrastructure, and trading technology. You will work closely with investment professionals, researchers, and technology leadership to design, develop, and enhance systems that support the firm's investment process.This is a highly visible position offering significant ownership and the opportunity to influence platform architecture and technology direction.ResponsibilitiesPlatform Development & IntegrationDesign, build, and enhance core investment technology platformsDevelop APIs, services, and internal tools supporting research, trading, and operational workflowsIntegrate disparate systems and datasets into a scalable, unified platformContribute to technology architecture and platform design decisionsSupport the full software development lifecycle from design through production deploymentQuantitative Research & Trading SupportPartner with quantitative researchers and investment teams to deploy models and analytics into production environmentsBuild tools and workflows that enable efficient research, testing, and deployment of investment strategiesSupport systems across multiple asset classes including equities, futures, options, fixed income, and derivativesData EngineeringBuild and maintain market data, reference data, and internal data pipelinesIntegrate third-party and proprietary data sources into the firm's technology ecosystemEnsure data quality, consistency, monitoring, and observability across platformsSupport data architecture and storage initiativesDevOps & InfrastructureMaintain and enhance CI/CD pipelines and development workflowsSupport containerized applications and cloud-native environmentsImprove monitoring, logging, automation, and platform reliabilityContribute to infrastructure modernization initiativesRequirements5+ years of software engineering experience within financial services, investment management, hedge funds, trading firms, or fintech environmentsStrong programming skills in PythonExperience with at least one additional object-oriented language such as C#, C++, or JavaExperience building scalable APIs, distributed systems, and production-grade softwareStrong SQL and data engineering capabilitiesFamiliarity with market data, trading systems, risk systems, or quantitative research platformsSolid understanding of software engineering best practices, including testing, version control, CI/CD, and code reviewsAbility to work independently and take ownership of projects from concept through deliveryStrong communication skills and willingness to collaborate with both technical and non-technical stakeholdersPreferred ExperienceBuy-side, hedge fund, or asset management experienceExperience supporting quantitative research or systematic trading environmentsKnowledge of options, futures, fixed income, derivatives, or risk systemsSnowflake, Azure, AWS, or other cloud technologiesDocker and KubernetesExperience with modern data platforms and data pipeline designExposure to AI-assisted development tools and modern engineering workflowsWhat You'll BringA problem-solving mindset and willingness to challenge existing approachesThe ability to understand business problems and translate them into scalable technical solutionsExperience working in fast-paced, collaborative environmentsA passion for building high-quality technology that directly impacts investment outcomesIf you're excited by the prospect of building technology that powers investment decisions and trading workflows, we'd love to hear from you.","datePosted":"2026-08-06T09:45:12.382Z","dateModified":"2026-08-06T09:45:12.382Z","hiringOrganization":{"@type":"Organization","name":"Selby Jennings","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bel Air","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4b58ae60b5f132fadf7baba2"},"url":"https://jobsearcher.com/jobs/4b58ae60b5f132fadf7baba2"}}