Fraud Data Scientist

Job Summary

A company is looking for a Fraud Data Scientist to detect and reduce fraud losses through data analysis and modeling.

Key Responsibilities:

• Support fraud prevention by analyzing data and implementing rules to address fraud threats and suspicious activity
• Analyze data to identify emerging fraud trends and provide actionable insights
• Develop and code software programs to evaluate large datasets and generate insights for product enhancement

Required Qualifications:

• Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering or related field preferred
• 12+ years of relevant experience preferred
• 5+ years of experience in a fraud rule/strategy role
• Fraud industry experience
• Strong expertise in programming languages such as SQL, SAS, Python, etc