Senior Fraud Data Analyst

Job Summary

A company is looking for a Senior Fraud Data Analyst.

Key Responsibilities

• Lead the development and optimization of fraud detection strategies using advanced analytics and machine learning
• Perform data mining and statistical analysis on large datasets to identify fraud patterns
• Collaborate with cross-functional teams to integrate fraud prevention measures across business channels

Required Qualifications

• Bachelor's degree in finance, economics, data analytics, computer science, or a related field; Master's degree preferred
• 5+ years of experience in fraud risk management or financial crime strategy
• Advanced proficiency in SQL for data manipulation and performance optimization
• Strong programming skills in Python or R for data analysis and machine learning
• Experience with big data platforms and familiarity with fraud detection technologies