Auto Fraud Analytics Analyst
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Job Summary
Identifying and analyzing emerging fraud risks, the full-time remote Auto Fraud Analytics Analyst will leverage data analytics and statistical techniques to detect fraud trends and improve fraud detection strategies.
Key responsibilities
- Analyze fraud data to identify trends, unusual activity, and potential control gaps
- Prepare and maintain fraud dashboards and reports to communicate fraud performance and risks
- Support the testing and monitoring of fraud rules, strategies, and controls
Required qualifications
- Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, or a related field
- Foundational knowledge of data analysis, statistics, or research methods
- Basic knowledge of SQL and another data-programming language (SAS, Python, R)
- Experience querying, merging, and analyzing large datasets
- 1+ years of experience in a relevant field
Complete Job Description
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