Entry Level Web3 Jobs in United States

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Job Position Company Posted Location Salary Tags

Integra

Austin, TX, United States

$88k - $103k

Heretic

San Francisco, CA, United States

$21k - $60k

Andreessen Horowitz

New York, NY, United States

$237k

Coinbase

San Francisco, CA, United States

$87k - $87k

Coinbase

San Francisco, CA, United States

$32k - $80k

a16z

New York, NY, United States

$237k

Heretic

San Francisco, CA, United States

$21k - $60k

BerlinRosen

New York, NY, United States

$85k - $99k

Berlinrosen

New York, NY, United States

$85k - $99k

Ripple

New York, NY, United States

$81k - $95k

BerlinRosen

Los Angeles, CA, United States

$85k - $99k

InfiniteQuant

New York, NY, United States

$72k - $120k

Galaxy

New York, NY, United States

$32k - $80k

Anchorage Digital

United States

$64k - $150k

Galaxy

New York, NY, United States

$45k - $80k

Integra
$88k - $103k estimated
Austin, Texas
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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

   

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