Data Analyst / Associate Data Scientist

IntegraFEC; Austin (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

A boutique consulting firm in Austin is seeking entrepreneurial and quantitatively skilled individuals to investigate financial fraud. The role involves developing and managing data-intensive investigations, analyzing large datasets, and presenting findings to both technical and non-technical audiences. Ideal candidates will have a background in quantitative fields such as statistics or engineering and experience with R, Python, and SQL. Strong teamwork and intellectual curiosity are essential for success in this position.

Qualifications

• Background in statistics, mathematics, engineering, computer science, data science, or other quantitative field.
• Demonstrated experience with R, Python, and/or SQL.
• Strong teamwork abilities.

Responsibilities

• Plan and develop data-intensive investigations of financial fraud.
• Conduct background research to develop hypotheses.
• Summarize and present findings to diverse audiences.

Skills

R

Python

SQL

Intellectual curiosity

Teamwork

Education

Background in statistics, mathematics, computer science, or related field

Job description

Integra 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.

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