Jobs at Integra FEC

Data Scientist Interns will automate processes, scrape and collect large datasets, and conduct advanced econometric analyses to investigate fraud across finance, healthcare, and cryptocurrency domains. The role involves applying data science and econometric techniques, contributing to individual and team projects, and translating academic expertise into practical industry applications.

Interns will code software to automate processes, scrape and collect large datasets, and conduct advanced econometric analyses to investigate fraud across finance, healthcare, and cryptocurrency domains. The role involves individual and team projects, applying data science and econometric techniques, and translating academic knowledge into real-world consulting and forensic analytics applications.

Partners with quantitative analysts to research and enhance fraud investigation methods. Reviews academic research, news, social media, and public data related to financial, securities, cryptocurrency, and healthcare fraud; identifies emerging fraud trends; analyzes specific fraud cases and entities; and compiles research findings.

Supports marketing and business development by researching complex financial fraud cases, identifying outreach prospects, aggregating email campaign targets, maintaining the CRM, finding conferences and speaking opportunities, managing LinkedIn content, and helping maintain Integra’s websites and marketing materials.

Analyzes fraud across finance, healthcare, and cryptocurrency domains using data science and econometric techniques. Responsibilities include coding process automation software, scraping and collecting large datasets, and conducting advanced econometric analysis. The intern collaborates on individual and team projects while applying quantitative academic skills to real-world investigations.

Supports marketing and business development by researching complex financial fraud cases, identifying outreach prospects, managing email campaign targets, maintaining the CRM, finding conferences and speaking opportunities, managing LinkedIn content, and maintaining website quality and design.

Conduct fraud investigations across finance, healthcare, and cryptocurrency domains using data science and econometric techniques. Responsibilities include coding process automation software, scraping and collecting large datasets, performing advanced econometric analysis, and contributing to individual and team projects. The role offers exposure to industry applications of quantitative academic disciplines and collaboration with industry experts.

Conduct research supporting fraud investigation methods in partnership with quantitative analysts. Review academic literature, news, social media, and public data related to financial, securities, cryptocurrency, and healthcare fraud; identify emerging fraud areas; analyze specific cases and entities; and compile research findings.

The Data Analyst/Associate Data Scientist will investigate and analyze fraud using data science techniques, conduct research, and present findings.

The role involves analyzing financial fraud data, developing methods for investigation, and presenting findings. Expected to manage projects over time.

Research Economist role involves analyzing fraud through econometrics, building datasets, developing scripts, and presenting findings effectively to varied audiences.