Job 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. Main responsibilities include: Plan, develop, and take ownership in data-intensive investigations of financial fraud Conduct background research to develop hypotheses of where fraud occurs Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs Summarize and present findings to technical and non-technical audiences Job Qualifications: Required 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.

Requirements

Must-haves

Plan, develop, and take ownership in data-intensive investigations of financial fraud
Conduct background research to develop hypotheses of where fraud occurs
Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs
Summarize and present findings to technical and non-technical audiences
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
2+ years of relevant full-time experience.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

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