Data Scientist / Senior Data Analyst

Required

3+ years of relevant work experience

Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field

Demonstrated experience with R, Python, and/or SQL

Attention to detail

Intellectual curiosity and interest in fraud analysis

Plan, develop, and take ownership in data-intensive investigations related to financial fraud

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 analyze potentially fraudulent conduct

Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides

Anticipated to grow toward managing projects and communicating with clients