Data Analyst / Associate Data Scientist
Austin, Texas
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
Read the full posting
What you’ll work on
Full postingPlan and own data-intensive investigations of financial fraud
Research backgrounds to form hypotheses about where fraud occurs
Write scripts to pull and organize data, including free-form text, images and spreadsheets
Build and analyze large datasets to detect fraudulent patterns
Summarize and present findings to technical and non-technical audiences
From the employer’s posting
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
Summarize and present findings to technical and non-technical audiences
What you’ll bring
All qualificationsCore experience
- 2+ years of relevant full-time experience (preferred)
- Background in statistics, math, engineering, CS, data science, economics, or another quantitative field
- Demonstrated experience with R, Python, and/or SQL
- Attention to detail
- Authorized to work for any U.S. employer without sponsorship
Qualification wording
2+ years of relevant full-time experience.
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
Applicants must be authorized to work for any employer in the U.S.
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
Posting record
Report an errorOpen 5 monthsWe first saw this posting 166 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 17, 2026 · 166 days ago
- Recorded sightings
- 45
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Apr 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay 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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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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- 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.
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