Fraud Investigations Analyst

We are looking for a Fraud Investigations Analyst to join the ID.me Fraud Team. In this role, you will work daily with Data Scientists, Engineering, Customer Success Managers, Legal, and Member Support teams to analyze a broad range of user activity to identify fraudulent behavior. You must be familiar with fraud analysis and investigative techniques, and you should possess the creative problem-solving abilities necessary to suggest new methods of analysis and prevention. 

• Analyze user behavior to identify fraudulent activity such as social engineering fraud, account takeover (ATO), and identity theft through stolen personally identifiable information (PII)
• Research and identify fraudulent user activity and determine if negative behaviors are part of a larger pattern
• Clearly articulate fraudulent activity in written documentation by summarizing qualitative and quantitative analysis to be shared with internal and/or external partners 
• Monitor user logs to identify unauthorized transactions and fraudulent accounts
• Support the development of fraud models by validating fraudulent activity and proactively recommending fraud signals for analysis
• Determine existing fraud trends by analyzing user accounts and application patterns
• Identify product and process improvements to prevent fraudulent activities
• Recommend anti-fraud processes and controls for changing user patterns and trends
• Work closely with the Member Support team to research and take action on user accounts 
• Be a key cross-functional analyst across the Product, Engineering, and Member Support to influence and inform security and product decisions

• 5+ years of experience in one of the following areas: Investigations, Intelligence Analysis, Cybersecurity, or Data Science
• Extensive experience with illicit fraud techniques, tactics, and procedures
• Excellent verbal and written communication skills; you have the ability to deliver technical data in a digestible format to stakeholders of all technical literacy levels
• Proficiency with fraud detection software and tools
• Strong analytical/problem-solving skills
• Exceptional attention to detail
• Ability to work remotely, independently, and autonomously, as well as part of a cohesive team
• Excellent time management, prioritization of tasks, and ability to meet deadlines with little supervision
• Bachelor’s degree in psychology, criminal justice, or a technology/quantitative discipline (preferred)
• Strong analytical/problem-solving skills
• Thrives on high pressure and high stakes work