{"schemaVersion":"jobsearcher.job.v1","id":"aac8c34fd97f0ad58c827af5","url":"https://jobsearcher.com/jobs/aac8c34fd97f0ad58c827af5","canonicalUrl":"https://jobsearcher.com/jobs/aac8c34fd97f0ad58c827af5","title":"Data Analyst / Associate Data Scientist","description":"Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems.\r\nMain responsibilities Plan, develop, and take ownership in data-intensive investigations of financial fraud\r\nConduct background research to develop hypotheses of where fraud occurs\r\nWrite scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights\r\nConstruct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs\r\nSummarize and present findings to technical and non-technical audiences\r\nJob Qualifications Required Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field\r\nDemonstrated experience with R, Python, and/or SQL\r\nAttention to detail\r\nIntellectual curiosity and interest in fraud analysis\r\nHighest ethical standards\r\nStrong teamwork abilities\r\nPreferred 2+ years of relevant full-time experience.\r\nExcellent skills in R, Python, and/or SQL\r\nKnowledge of financial concepts and principles\r\nDemonstrated aptitude for research\r\nApplicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.\r\nJ-18808-Ljbffr","company":"Integra","rawCompany":"integra","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-16T02:15:15.544Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2099.04","title":"Fraud Examiners, Investigators and Analysts","slug":"fraud-examiners-investigators-and-analysts"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"561611","title":"Investigation and Personal Background Check Services","slug":"investigation-and-personal-background-check-services"},{"code":"541618","title":"Other Management Consulting Services","slug":"other-management-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analyst / Associate Data Scientist","description":"Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems.\r\nMain responsibilities Plan, develop, and take ownership in data-intensive investigations of financial fraud\r\nConduct background research to develop hypotheses of where fraud occurs\r\nWrite scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights\r\nConstruct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs\r\nSummarize and present findings to technical and non-technical audiences\r\nJob Qualifications Required Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field\r\nDemonstrated experience with R, Python, and/or SQL\r\nAttention to detail\r\nIntellectual curiosity and interest in fraud analysis\r\nHighest ethical standards\r\nStrong teamwork abilities\r\nPreferred 2+ years of relevant full-time experience.\r\nExcellent skills in R, Python, and/or SQL\r\nKnowledge of financial concepts and principles\r\nDemonstrated aptitude for research\r\nApplicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T02:15:15.544Z","dateModified":"2026-07-16T02:15:15.544Z","hiringOrganization":{"@type":"Organization","name":"Integra","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aac8c34fd97f0ad58c827af5"},"url":"https://jobsearcher.com/jobs/aac8c34fd97f0ad58c827af5"}}