{"schemaVersion":"jobsearcher.job.v1","id":"9e781425887c13cbcb955ec6","url":"https://jobsearcher.com/jobs/9e781425887c13cbcb955ec6","canonicalUrl":"https://jobsearcher.com/jobs/9e781425887c13cbcb955ec6","title":"Python Software Engineer - Financial Engineering","description":"Job Title: Python Software Engineer – Financial Engineering\nPosition Overview\n\nWe are an Portfolio Risk Analytics Company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.\n\nResponsibilities\n\nDesign, develop, and maintain Python applications for financial analysis and quantitative modeling.\nBuild and optimize pricing, valuation, and risk management models for financial instruments.\nDevelop data pipelines for processing market, economic, and alternative data.\nImplement and maintain backtesting frameworks for trading and investment strategies.\nCollaborate with quantitative researchers, traders, portfolio managers, and software engineers.\nOptimize code for performance, scalability, and reliability.\nIntegrate applications with market data providers, databases, and APIs.\nWrite clean, maintainable, and well-documented code.\nDevelop automated testing and deployment pipelines.\nMonitor production systems and troubleshoot technical issues.\nRequired Qualifications\n\nBachelor's, Master's, PhD's degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering, or a related quantitative field.\n3+ years of professional Python development experience.\nStrong knowledge of object-oriented programming and software design principles.\nExperience with financial engineering concepts, including:\nDerivative pricing\nFixed income analytics\nPortfolio optimization\nRisk management\nTime series analysis\nExperience with Python libraries such as:\nNumPy\nPandas\nSciPy\nStatsmodels\nscikit-learn\nExperience working with SQL databases.\nFamiliarity with REST APIs and cloud platforms.\nExperience using Git and CI/CD workflows.\nStrong analytical and problem-solving skills.\nPreferred Qualifications\n\nExperience developing algorithmic trading systems.\nKnowledge of stochastic calculus, Monte Carlo simulation, and numerical optimization.\nFamiliarity with financial data providers (S&P, Bloomberg, Refinitiv, ICE, Polygon.io, etc.).\nExperience with distributed computing or high-performance computing.\nKnowledge of Docker, Kubernetes, or cloud infrastructure (AWS, Azure, or GCP).\nExperience with machine learning applied to financial markets.\nFamiliarity with C++, Rust, or Java is a plus.\nTechnical Skills\n\nPython\nNumPy\nPandas\nSciPy\nSQL\nGit\nLinux\nDocker\nREST APIs\nFinancial Modeling\nQuantitative Finance\nRisk Analytics\nTime Series Analysis\nDesired Personal Attributes\n\nStrong quantitative reasoning\nExcellent communication skills\nAttention to detail\nAbility to work independently and collaboratively\nPassion for financial markets and technology\nCommitment to writing high-quality, maintainable software\nNice-to-Have Experience\n\nQuantitative research\nOptions pricing\nFixed income analytics\nPortfolio construction\nMarket risk or credit risk systems\nBacktesting platforms\nFinancial data engineering\nAI/ML applications in finance","company":"Risk Analytics Company","rawCompany":"risk analytics company","city":"Guilford","state":"CT","isRemote":false,"isActive":false,"createdAt":"2026-08-05T01:27:44.546Z","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":"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"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Software Engineer - Financial Engineering","description":"Job Title: Python Software Engineer – Financial Engineering\nPosition Overview\n\nWe are an Portfolio Risk Analytics Company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.\n\nResponsibilities\n\nDesign, develop, and maintain Python applications for financial analysis and quantitative modeling.\nBuild and optimize pricing, valuation, and risk management models for financial instruments.\nDevelop data pipelines for processing market, economic, and alternative data.\nImplement and maintain backtesting frameworks for trading and investment strategies.\nCollaborate with quantitative researchers, traders, portfolio managers, and software engineers.\nOptimize code for performance, scalability, and reliability.\nIntegrate applications with market data providers, databases, and APIs.\nWrite clean, maintainable, and well-documented code.\nDevelop automated testing and deployment pipelines.\nMonitor production systems and troubleshoot technical issues.\nRequired Qualifications\n\nBachelor's, Master's, PhD's degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering, or a related quantitative field.\n3+ years of professional Python development experience.\nStrong knowledge of object-oriented programming and software design principles.\nExperience with financial engineering concepts, including:\nDerivative pricing\nFixed income analytics\nPortfolio optimization\nRisk management\nTime series analysis\nExperience with Python libraries such as:\nNumPy\nPandas\nSciPy\nStatsmodels\nscikit-learn\nExperience working with SQL databases.\nFamiliarity with REST APIs and cloud platforms.\nExperience using Git and CI/CD workflows.\nStrong analytical and problem-solving skills.\nPreferred Qualifications\n\nExperience developing algorithmic trading systems.\nKnowledge of stochastic calculus, Monte Carlo simulation, and numerical optimization.\nFamiliarity with financial data providers (S&P, Bloomberg, Refinitiv, ICE, Polygon.io, etc.).\nExperience with distributed computing or high-performance computing.\nKnowledge of Docker, Kubernetes, or cloud infrastructure (AWS, Azure, or GCP).\nExperience with machine learning applied to financial markets.\nFamiliarity with C++, Rust, or Java is a plus.\nTechnical Skills\n\nPython\nNumPy\nPandas\nSciPy\nSQL\nGit\nLinux\nDocker\nREST APIs\nFinancial Modeling\nQuantitative Finance\nRisk Analytics\nTime Series Analysis\nDesired Personal Attributes\n\nStrong quantitative reasoning\nExcellent communication skills\nAttention to detail\nAbility to work independently and collaboratively\nPassion for financial markets and technology\nCommitment to writing high-quality, maintainable software\nNice-to-Have Experience\n\nQuantitative research\nOptions pricing\nFixed income analytics\nPortfolio construction\nMarket risk or credit risk systems\nBacktesting platforms\nFinancial data engineering\nAI/ML applications in finance","datePosted":"2026-08-05T01:27:44.546Z","dateModified":"2026-08-05T01:27:44.546Z","hiringOrganization":{"@type":"Organization","name":"Risk Analytics Company","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Guilford","addressRegion":"CT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9e781425887c13cbcb955ec6"},"url":"https://jobsearcher.com/jobs/9e781425887c13cbcb955ec6"}}