Data Analyst / Associate Data Scientist

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

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