Fraud Data Analyst - Remote

Optum Global Solutions International B.V.

Optum is a global organization focused on improving health outcomes by connecting individuals with care, pharmacy benefits, data, and resources. This role supports the Fraud team, with the Fraud Data Analyst playing a crucial part in developing mitigation strategies through detailed data analysis and collaboration with stakeholders.

In this role you can expect to have the responsibilities:

• Develop and implement fraud analytics models and rules
• Perform detailed analysis of transactional data to detect and investigate potential fraud
• Identify trends and patterns indicating fraud using analytical techniques
• Collaborate with stakeholders to identify fraud risks and improvement opportunities
• Provide data-driven insights to support investigations
• Maintain reports on fraud detection metrics and emerging threats
• Develop and maintain key fraud analytics metrics
• Assist in developing fraud analytics strategy
• Stay updated on fraud trends, technologies, and best practices

This role comes with the following benefits:

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase and 401k contribution

This role requires you to have:

• 3+ years of experience in data analysis with a focus on fraud detection
• 2+ years using data analytics tools like SQL, Python, R, SAS
• 2+ years conducting key analytical projects and solving complex problems

You would benefit from having:

• Experience maintaining reports on fraud detection metrics and emerging threats
• Understanding of key fraud analytics metrics and drivers

All employees working remotely must adhere to UnitedHealth Group's Telecommuter Policy. Diversity and inclusion are prioritized, with equal employment opportunities provided regardless of protected characteristics. The company is committed to environmental sustainability and improving health outcomes.