Entry Level Web3 Jobs in Texas, United States
10 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Integra | Austin, TX, United States | $88k - $103k | |||
DoraHacks | Austin, TX, United States | $54k - $100k | |||
Chive Media Group | Austin, TX, United States | $54k - $62k | |||
Fortress IO | Austin, TX, United States | $22k - $90k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Fortress Trust | Austin, TX, United States | $22k - $90k | |||
Fortress Trust Company | Austin, TX, United States | $22k - $90k | |||
Circle | Austin, TX, United States | $15k - $72k | |||
Chive Media Group | Austin, TX, United States | $25k - $90k | |||
The Foundation for Art & Blockchain | Austin, TX, United States | $0k | |||
Palm NFT Studio, Inc. | Austin, TX, United States | $87k - $2k |
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:Â 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
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