{"schemaVersion":"jobsearcher.job.v1","id":"20c741b19de61efd00ef6166","url":"https://jobsearcher.com/jobs/20c741b19de61efd00ef6166","canonicalUrl":"https://jobsearcher.com/jobs/20c741b19de61efd00ef6166","title":"Python Developer for Financial Model Risk Management Systems","description":"JOB INFORMATION\nThe project is to develop a Model Risk Management System to use Advanced Analytics and Data Science techniques to establish an efficient, integrated approach to managing risks associated with model development, implementation, and use, better connecting model reviewers with model owners. This position will participate in the full development process for this system with an emphasis on implementation with Python.\n\nKEY JOB FUNCTIONS\nPlay a key role in the requirements generation, analysis, design, implementation, and testing of the Model Risk Management system with Python and other tools necessary.\nEnhance the delivery of useful information to those who need it to manage model risks\nUse Advanced Analytics and Data Science techniques to efficiently execute automated information governance tasks.\n\nQUALIFICATIONS\nBachelor’s degrees in Computer Science, Engineering, Applied Mathematics, Statistics, Economics, Finance, or a related discipline preferred.\nMaster’s or Ph.D. preferred\nStrong programming experience, preferably including Open Source languages such as Python and R, and familiarity with tools available in the Amazon Web Services (AWS) environment.\nUnix/Linux, SQL, and AWS experience preferred.\nKnowledge of Machine Learning modeling techniques, particularly as applied to Natural Language Processing and content analytics, preferred\nExperience using graph databases and queries to establish a Knowledge Base and execute intelligent internal search preferred\n\nType: Full-time, Consulting\nClient: Fannie Mae or Freddie Mac\nLocation: 1100 15th St., N.W., Washington DC 20005\nH1B: sponsored\nContact: victor@entagile.com\nPython Developer for Financial Model Risk Management system","company":"Intelagile","rawCompany":"intelagile","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:19:25.738Z","occupations":[{"code":"13-2054.00","title":"Financial Risk Specialists","slug":"financial-risk-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer for Financial Model Risk Management Systems","description":"JOB INFORMATION\nThe project is to develop a Model Risk Management System to use Advanced Analytics and Data Science techniques to establish an efficient, integrated approach to managing risks associated with model development, implementation, and use, better connecting model reviewers with model owners. This position will participate in the full development process for this system with an emphasis on implementation with Python.\n\nKEY JOB FUNCTIONS\nPlay a key role in the requirements generation, analysis, design, implementation, and testing of the Model Risk Management system with Python and other tools necessary.\nEnhance the delivery of useful information to those who need it to manage model risks\nUse Advanced Analytics and Data Science techniques to efficiently execute automated information governance tasks.\n\nQUALIFICATIONS\nBachelor’s degrees in Computer Science, Engineering, Applied Mathematics, Statistics, Economics, Finance, or a related discipline preferred.\nMaster’s or Ph.D. preferred\nStrong programming experience, preferably including Open Source languages such as Python and R, and familiarity with tools available in the Amazon Web Services (AWS) environment.\nUnix/Linux, SQL, and AWS experience preferred.\nKnowledge of Machine Learning modeling techniques, particularly as applied to Natural Language Processing and content analytics, preferred\nExperience using graph databases and queries to establish a Knowledge Base and execute intelligent internal search preferred\n\nType: Full-time, Consulting\nClient: Fannie Mae or Freddie Mac\nLocation: 1100 15th St., N.W., Washington DC 20005\nH1B: sponsored\nContact: victor@entagile.com\nPython Developer for Financial Model Risk Management system","datePosted":"2026-04-12T20:19:25.738Z","dateModified":"2026-04-12T20:19:25.738Z","hiringOrganization":{"@type":"Organization","name":"Intelagile","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"20c741b19de61efd00ef6166"},"url":"https://jobsearcher.com/jobs/20c741b19de61efd00ef6166"}}