Fraud Data Analyst

Job Description

• 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, Lexis Nexis fraud policy configuration tuning, team staffing levels, and the acquisition of new technology to support evolving identity fraud threats.
• Collaborate with the Login.gov Dev Ops and Sec Ops 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• Bachelors Degree + 10 years
• The ideal candidate is seasoned in Fraud/Identity operations
• Experience with Tableau, Lexis Nexis, SQL, and analytics tools
• Experience with both relational and non-relational database systems
• A passion for identifying problems and finding the best possible solution
• Detail-oriented and have excellent verbal and written communications skills, analytical skills, and organization skills.
• Ability to work autonomously and deliver high-quality work in pursuit of a common team goal
• Interest and ability to learn and operate a variety of data systems and software tools used in investigations
• Ability to adapt quickly to changing priorities, new policies and procedures, and adopt new tools
• Ability to effectively prioritize work
• Ability to succinctly articulate complex ideas and explain technical decisions to technical and non-technical audiences