| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Integra | Austin, TX, United States | $88k - $103k | |||
B2C2 | Remote | $22k - $90k | |||
B2C2 | Remote | $80k - $106k | |||
Crypto.com | Bangkok, Thailand | $91k - $115k | |||
| Learn Job-ready Solidity & Rust skills, in your schedule with 1-on-1 mentor support, or get your money back. ISO 9001 Certified | 400+ students | | by Metana Learn more | |||
Entangle Labs | Dubai, United Arab Emirates | $1000k - $24k | |||
IMC | Remote | $68k - $72k | |||
Bitpanda | Vienna, Austria | $72k - $90k | |||
Coins.ph | Shanghai, China | $63k - $70k | |||
Bluecubeservices | Philippines | $72k - $150k | |||
Improbable | London, United Kingdom | $90k - $120k | |||
Easygo | Melbourne, Australia | $90k - $96k | |||
Animoca Brands Limited | Hong Kong, Hong Kong | $87k - $87k | |||
Openmesh | Sydney, Australia | $22k - $60k | |||
Openmesh | Sydney, Australia | $31k - $80k | |||
Openmesh | Sydney, Australia | $31k - $81k |
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