Data Analyst / Associate Data Scientist

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. Main responsibilities include:Plan, develop, and take ownership in data-intensive investigations of financial fraudConduct background research to develop hypotheses of where fraud occursWrite scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insightsConstruct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occursSummarize and present findings to technical and non-technical audiencesJob Qualifications:Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative fieldDemonstrated experience with R, Python, and/or SQLAttention to detailIntellectual curiosity and interest in fraud analysisHighest ethical standardsStrong teamwork abilitiesPreferred2+ years of relevant full-time experience.Excellent skills in R, Python, and/or SQLKnowledge of financial concepts and principlesDemonstrated aptitude for researchApplicants 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. 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. Main responsibilities include:Plan, develop, and take ownership in data-intensive investigations of financial fraudConduct background research to develop hypotheses of where fraud occursWrite scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insightsConstruct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occursSummarize and present findings to technical and non-technical audiencesJob Qualifications:Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative fieldDemonstrated experience with R, Python, and/or SQLAttention to detailIntellectual curiosity and interest in fraud analysisHighest ethical standardsStrong teamwork abilitiesPreferred2+ years of relevant full-time experience.Excellent skills in R, Python, and/or SQLKnowledge of financial concepts and principlesDemonstrated aptitude for researchApplicants 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. 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. Main responsibilities include:Plan, develop, and take ownership in data-intensive investigations of financial fraudConduct background research to develop hypotheses of where fraud occursWrite scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insightsConstruct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occursSummarize and present findings to technical and non-technical audiencesJob Qualifications:Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative fieldDemonstrated experience with R, Python, and/or SQLAttention to detailIntellectual curiosity and interest in fraud analysisHighest ethical standardsStrong teamwork abilitiesPreferred2+ years of relevant full-time experience.Excellent skills in R, Python, and/or SQLKnowledge of financial concepts and principlesDemonstrated aptitude for researchApplicants 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.

• Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field
• Demonstrated experience with R, Python, and/or SQL
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities

Preferred

• 2+ years of relevant full-time experience.
• Excellent skills in R, Python, and/or SQL
• Knowledge of financial concepts and principles
• Demonstrated aptitude for research

Applicants 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.