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Data Analyst / Associate Data Scientist

Austin, Texas

Pay
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Work setup
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Employment
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Before you apply

Sponsorship
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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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Apply at Integra FEC

What you’ll work on

Full posting
  • Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights

From the employer’s posting
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

Tools in this posting

  • Python
  • R
  • SQL
Source — Tool mentions in context
- 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
- 2+ years of relevant full-time experience. - Excellent skills in R, Python, and/or SQL - Knowledge of financial concepts and principles

Job description

View original posting ↗

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Austin, Texas

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 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.
Status in our records
Active
First seen by us
May 17, 2026
Recorded sightings
27
Last seen by us
Oct 8, 2026
Employer says posted
Apr 24, 2026

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