Data Scientist / Senior Data Analyst
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 into financial fraud
Write scripts to retrieve data and parse text, images and spreadsheets
Build and analyze large datasets to find fraudulent patterns
Develop quantitative and empirical methods to analyze suspicious conduct
Present findings through long-form reports, charts and slides
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
Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides
What you’ll bring
All qualificationsCore experience
- 3+ years of relevant work experience
- Quantitative background such as statistics, economics, finance or computer science
- Demonstrated experience with R, Python, and/or SQL
- Attention to detail
- Authorization to work for any U.S. employer without visa sponsorship
Qualification wording
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
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, 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
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
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.
Already applied? Track this application
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.
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.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.