Fraud Investigations Analyst Jobs

Company Overview
ID.me simplifies how people securely prove and share their identity online. The company empowers people to control their data through a portable and trusted login, which means they don’t need to create a new password when visiting sites that have the ID.me button.
The COVID-19 pandemic accelerated digital migration for many critical services. Those services require a trusted identity to safeguard against fraud and help ensure people are who they claim to be. With ID.me, login and identity credentials move with people, which can reduce the time and frustration of having to verify at multiple sites and set up multiple passwords.
ID.me is a credential service provider compliant with federal standards for digital identity verification.
In addition to helping people control their credentials and data, the company’s “No Identity Left Behind” initiative strives to expand access and inclusion for all people. The company offers multiple pathways to verification – online self-serve, live video chat agents, and in person. ID.me is passionate about building a robust identity network that does not compromise access for traditionally underserved groups.
Overview
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.
Responsibilities

• Identify product and process improvements to prevent fraudulent activities
• Analyze user behavior to identify fraudulent activity such as social engineering fraud, account takeover (ATO), and identity theft through stolen personally identifiable information (PII)
• Recommend anti-fraud processes and controls for changing user patterns and trends
• 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
• Be a key cross-functional analyst across the Product, Engineering, and Member Support to influence and inform security and product decisions
• Determine existing fraud trends by analyzing user accounts and application patterns
• 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
• Work closely with the Member Support team to research and take action on user accounts

Qualifications

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