Job Description
Job Description
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
Qualifications
Advanced degree in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field
2+ years of prior experience
Knowledge of financial concepts and principles
Excellent skills in R, Python, and/or SQL
Attention to detail
Intellectual curiosity and interest in fraud analysis
Highest ethical standards
Strong teamwork abilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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