Data Analyst

Job Description

• Bachelor’s Degree + 10 years of relevant experience.
• Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns occurring within Login’s partner ecosystem.
• Use data analytics findings to inform program strategy, LexisNexis fraud policy configuration tuning, team staffing levels, and the acquisition of new technology to support evolving identity fraud threats.
• Collaborate with the Login.gov DevOps and SecOps teams to improve the data infrastructure, engineering, and software to deploy, scale, and operationalize the analytics program.
• Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud.
• Monitor fraud analytics that may include Identify and Entity Resolutions/Detection, Social Network Analysis, Unsupervised Monitoring.
• Establish in-range and out-of-range anomaly behaviors and indicators that will trigger action.
• Incorporate relevant data from third-party technology providers and tools to continuously improve and enhance fraud detection models.
• Continuously monitor the performance of the fraud analytic models to ensure effectiveness as fraud schemes shift and evolve.
• Support the development of dashboards to report key performance indicators and suspicious activity alerts for the operations team and Login.gov leadership.
• Conduct fraud risk assessments to understand program vulnerabilities, assess fraud risks, establish risk tolerances, and develop risk responses and mitigating control activities.
• Develop a fraud response plan that includes scaling procedures for fraud control activities, scenario planning and response management for potential fraud events, and facilitation of exercises to test team readiness.
• Establish and report Key Performance Indicators, which may include number of alerts received, adjudication outcomes, time to clear alerts, fraud type, and entry point.
• The ideal candidate is seasoned in Fraud/Identity operations.
• Experience with Google Workspace, SQL, Python, Git and analytics tools.
• Skilled in data visualization and enabling dynamic dashboards in Tableau.
• Experience with both relational and non-relational database systems and database architecture.

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