{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/integra/jobs/5083082008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4409614008,"location":{"name":"Austin, Texas"},"metadata":null,"id":5083082008,"updated_at":"2026-04-24T14:34:06-04:00","requisition_id":"47","title":"Data Analyst / Associate Data Scientist","company_name":"IntegraFEC","first_published":"2026-01-23T14:50:45-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;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.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Main responsibilities include:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Plan, develop, and take ownership in data-intensive investigations of financial fraud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct background research to develop hypotheses of where fraud occurs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summarize and present findings to technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Required\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience with R, Python, and/or SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intellectual curiosity and interest in fraud analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highest ethical standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong teamwork abilities\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Preferred\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-teams=\u0026quot;true\u0026quot;\u0026gt;2+ years of relevant full-time experience.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent skills in R, Python, and/or SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of financial concepts and principles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated aptitude for research\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;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.\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4015284008,"name":"Full Time","child_ids":[],"parent_id":null}],"offices":[{"id":4011736008,"name":"Lavaca St","location":"Austin, Texas, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/integra/jobs/5083091008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4409619008,"location":{"name":"Austin, Texas"},"metadata":null,"id":5083091008,"updated_at":"2026-05-14T12:35:32-04:00","requisition_id":"48","title":"Data Scientist / Senior Data Analyst","company_name":"IntegraFEC","first_published":"2026-01-23T14:50:47-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Main responsibilities include:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Plan, develop, and take ownership in data-intensive investigations related to financial fraud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Anticipated to grow toward managing projects and communicating with clients\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Qualifications\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Required\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span data-teams=\u0026quot;true\u0026quot;\u0026gt;3+ years of relevant work experience\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience with R, Python, and/or SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intellectual curiosity and interest in fraud analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highest ethical standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong teamwork abilities\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Preferred\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Excellent skills in R, Python, and/or SQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in economic/management consulting or finance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of financial concepts and principles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of crypto, decentralized finance, or smart contracts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated aptitude for research\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;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.\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4015284008,"name":"Full Time","child_ids":[],"parent_id":null}],"offices":[{"id":4011736008,"name":"Lavaca St","location":"Austin, Texas, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/integra/jobs/5134522008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4434663008,"location":{"name":"Austin, Texas"},"metadata":null,"id":5134522008,"updated_at":"2026-04-28T16:36:25-04:00","requisition_id":"49","title":"(FALL) Data Analyst Intern ","company_name":"IntegraFEC","first_published":"2026-04-28T16:36:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications\u0026amp;nbsp;\u0026amp;nbsp;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. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opportunities to work on team-based and individual projects\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Visibility to industry experts\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Job Qualifications\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with R, SQL, Python, or other scripting languages\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Microsoft Excel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail with big-picture understanding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work well in teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highest ethical standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;All education levels (Bachelor\u0026#39;s, Master\u0026#39;s, or Ph.D.) welcome\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-teams=\u0026quot;true\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;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.\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4012991008,"name":"Interns","child_ids":[],"parent_id":null}],"offices":[{"id":4011736008,"name":"Lavaca St","location":"Austin, Texas, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/integra/jobs/5134592008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4434699008,"location":{"name":"Austin, Texas"},"metadata":null,"id":5134592008,"updated_at":"2026-04-28T16:36:51-04:00","requisition_id":"50","title":"(FALL) Data Scientist Intern - PhD","company_name":"IntegraFEC","first_published":"2026-04-28T16:36:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications\u0026amp;nbsp;\u0026amp;nbsp;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. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opportunities to work on team-based and individual projects\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Visibility to industry experts\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp; \u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Job Qualifications:\u0026lt;/span\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with R, SQL, Python, or other scripting languages\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Microsoft Excel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail with big-picture understanding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work well in teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highest ethical standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must be enrolled in a PhD program\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;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.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4012991008,"name":"Interns","child_ids":[],"parent_id":null}],"offices":[{"id":4011736008,"name":"Lavaca St","location":"Austin, Texas, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/integra/jobs/5134607008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4434707008,"location":{"name":"Austin, Texas"},"metadata":null,"id":5134607008,"updated_at":"2026-04-28T16:41:59-04:00","requisition_id":"52","title":"(FALL) Marketing and Business Development Intern","company_name":"IntegraFEC","first_published":"2026-04-28T16:41:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Integra’s mission is to restore integrity to the financial system. Integra is looking for a research analyst to partner with quantitative analysts to develop and enhance existing methods for investigating fraud. This person will conduct research on a variety of topics related to fraud.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Responsibilities would include the following:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Aggregating weekly prospecting targets for email campaigns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identifying potential speaking engagements and conferences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing content calendar for LinkedIn postings\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Updating and maintaining Integra’s CRM\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Controlling quality, design, and additions to Integra sites\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Other activities to support Integra’s Business Development and Marketing efforts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;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.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4012991008,"name":"Interns","child_ids":[],"parent_id":null}],"offices":[{"id":4011736008,"name":"Lavaca St","location":"Austin, Texas, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/integra/jobs/5134594008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4434701008,"location":{"name":"Austin, Texas"},"metadata":null,"id":5134594008,"updated_at":"2026-04-28T16:37:43-04:00","requisition_id":"51","title":"(FALL) Research Analyst Intern ","company_name":"IntegraFEC","first_published":"2026-04-28T16:37:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Integra’s mission is to restore integrity to the financial system. Integra is looking for a research analyst to partner with quantitative analysts to develop and enhance existing methods for investigating fraud. This person will conduct research on a variety of topics related to fraud.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Responsibilities would include the following:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Reviewing academic research and news articles related to financial, securities, cryptocurrency or health care fraud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identifying emerging areas of fraud based on review of news, social media and other sources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reviewing specific cases of fraud, including analysis of specific organizations, entities or institutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gathering of publicly available data and information\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Compiling and summarizing research\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Other tasks to support Integra’s business\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;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.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4012991008,"name":"Interns","child_ids":[],"parent_id":null}],"offices":[{"id":4011736008,"name":"Lavaca St","location":"Austin, Texas, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/integra/jobs/5162001008","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4447640008,"location":{"name":"Austin, Texas"},"metadata":null,"id":5162001008,"updated_at":"2026-04-24T16:49:53-04:00","requisition_id":"54","title":"PhD Research Economist","company_name":"IntegraFEC","first_published":"2026-03-24T11:31:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;Integra FEC is hiring entrepreneurial and quantitatively skilled graduates with a background in economics and mathematics 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 works with government agencies and private entities to analyze complicated 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.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Main responsibilities include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Working as a data detective to examine potentially fraudulent patterns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conducting qualitative and quantitative research to identify opportunities to detect fraud and identify fraud detection methods\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building, cleaning, compiling and analyzing datasets to find insights and fraud patterns using econometrics, statistics and other forms of analyses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building scripts, algorithms and code to process and analyze large datasets effectively and efficiently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Presenting findings to technical and non-technical audiences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Job Qualifications:\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Economics required, with Finance and Mathematics background a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Python, SQL, R, or other scripting languages\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Microsoft Excel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Attention to detail with big-picture understanding\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work well in teams\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highest ethical standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;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.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4015284008,"name":"Full Time","child_ids":[],"parent_id":null}],"offices":[{"id":4011736008,"name":"Lavaca St","location":"Austin, Texas, United States","child_ids":[],"parent_id":null}]}],"meta":{"total":7}}