Web3 Jobs in Austin, Texas, United States
496 jobs found
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Integra | Austin, TX, United States | $88k - $103k | |||
TaxBit | Austin, TX, United States |
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Unreal Staffing | Austin, TX, United States | $79k - $109k | |||
Circle | Austin, TX, United States | $200k - $257k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
BloXroute Labs | Austin, TX, United States | $91k - $120k | |||
Circle | Austin, TX, United States | $130k - $170k | |||
Fabric of Truth, Inc | Austin, TX, United States | $88k - $107k | |||
Fabric of Truth, Inc | Austin, TX, United States | $39k - $67k | |||
Gemini | Austin, TX, United States | $172k - $215k | |||
Circle | Austin, TX, United States | $145k - $192k | |||
Decentralized Masters | Austin, TX, United States | $86k - $120k | |||
Circle | Austin, TX, United States | $162k - $212k | |||
Circle | Austin, TX, United States | $102k - $137k | |||
U410 | Austin, TX, United States | $105k - $120k | |||
Paypal | Austin, TX, United States | $72k - $150k |
Integra is hiring entrepreneurial and quantitatively-skilled graduates 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
Excellent skills in R, Python, and/or SQL Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research