Data Analyst / Associate Data Scientist

Integra FEC; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Integra FEC is hiring quantitatively-skilled individuals with data analytics experience to identify, investigate, and analyze fraud in finance, healthcare, and cryptocurrencies. You will apply data science and econometric techniques to complex schemes and present findings to diverse audiences.

The role emphasizes initiative and curiosity as a data detective, with opportunities to work on government and private sector projects and to develop rigorous empirical methods.

Qualifications

• Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field.
• Demonstrated experience with R, Python, and/or SQL.
• Intellectual curiosity and interest in fraud analysis.
• Strong teamwork abilities.
• 2+ years of relevant full-time experience.

Responsibilities

• 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.

Skills

R

Python

SQL

Teamwork

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
• Intellectual curiosity and interest in fraud analysis
• 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.