Data Analyst

• Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud
• Develop and implement fraud analytics models to detect and prevent fraudulent activities
• Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports
• Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements
• Utilize advanced data analysis techniques to enhance fraud detection processes
• Prepare visualizations and presentations to communicate findings to stakeholders
• Conduct thorough investigations into flagged transactions or activities and document findings
• Support the development of automated tools and processes for fraud prevention
• Stay updated on industry best practices and emerging technologies related to fraud analytics
• Ensure compliance with regulatory requirements and company policies in all investigations

• Proven experience in data analysis, with a focus on fraud detection or prevention
• Strong understanding of fraud investigation techniques and anti-fraud strategies
• Proficiency in data analytics tools such as SQL, Python, R, or similar
• Ability to analyze complex datasets and draw actionable conclusions
• Excellent problem-solving skills and attention to detail
• Effective communication skills to present findings clearly to stakeholders
• Familiarity with regulatory requirements related to fraud investigation is preferred
• Bachelor’s degree in a related field such as Data Science, Statistics, or Business Analytics

Familiarity with regulatory requirements related to fraud investigation

• medical, vision, dental, and life and disability insurance
• eligible to enroll in our company 401(k) plan