Data Scientist / Senior Data Analyst
Austin, Texas
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
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.
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What you’ll work on
Full postingWrite scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
From the employer’s posting
Plan, develop, and take ownership in data-intensive investigations related to financial fraud 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 analyze potentially fraudulent conduct
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
- Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field - Demonstrated experience with R, Python, and/or SQL - Attention to detail
Preferred - Excellent skills in R, Python, and/or SQL - Background in economic/management consulting or finance
Job description
Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data.
Main responsibilities include:
- Plan, develop, and take ownership in data-intensive investigations related to financial fraud
- 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 analyze potentially fraudulent conduct
- Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides
- Anticipated to grow toward managing projects and communicating with clients
Job Qualifications
Required
- 3+ years of relevant work experience
- Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, 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
- Excellent skills in R, Python, and/or SQL
- Background in economic/management consulting or finance
- Knowledge of financial concepts and principles
- Knowledge of crypto, decentralized finance, or smart contracts
- 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
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.
- Status in our records
- Active
- First seen by us
- May 17, 2026
- Recorded sightings
- 28
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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