Fraud Data Analyst - GSA AntiFraud

Amivero • ,

2d

About The Position

Amivero is seeking a Data Analyst to work with the federal government on developing fraud analytic models that identify suspicious activity for further investigation and possible intervention. The role supports the execution of the program through fraud monitoring, analytics, alerting, prevention, and communication with customers and stakeholders.

The analyst will analyze account creation attempts and investigative findings across Login.gov’s partner ecosystem, develop and maintain models for identity fraud, account takeover, and synthetic identity fraud, and monitor analytics such as identity and entity resolution or detection, social network analysis, and unsupervised monitoring. The role also includes supporting fraud policy configuration, program strategy, staffing and technology decisions, data infrastructure improvements, operational dashboards, risk assessments, and fraud response planning.

Amivero delivers digital services for the federal government through a human-centered, data-driven approach, using modern and agile methods to build accessible and innovative data and software services.

Requirements

• Bachelor’s degree.
• US citizenship, Green Card, or EAD required to obtain Public Trust.
• Experience with Tableau, LexisNexis, SQL, and analytics tools.
• Experience with relational and non-relational database systems.
• Excellent verbal and written communication, analytical, organizational, and detail-oriented skills.
• Ability to work autonomously and deliver high-quality work toward a common team goal.
• 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 new tools.
• Ability to effectively prioritize work.
• Ability to articulate complex ideas succinctly and explain technical decisions to technical and non-technical audiences.

Nice To Haves

• Seasoned experience in fraud and identity operations.

Responsibilities

• Analyze new account creation attempts and investigative findings to identify fraudulent trends and patterns in Login.gov’s partner ecosystem.
• Use analytics findings to inform program strategy, LexisNexis fraud policy configuration tuning, team staffing levels, and acquisition of technology to address evolving identity fraud threats.
• Collaborate with Login.gov DevOps and SecOps teams to improve data infrastructure, engineering, and software for deploying, scaling, and operationalizing the analytics program.
• Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud.
• Monitor fraud analytics, including identity and entity resolution or detection, social network analysis, and unsupervised monitoring.
• Establish in-range and out-of-range anomaly behaviors and indicators that trigger action.
• Incorporate relevant data from third-party technology providers and tools to improve fraud detection models.
• Monitor fraud analytic model performance and effectiveness as fraud schemes evolve.
• Support development of dashboards reporting key performance indicators and suspicious activity alerts for the operations team and Login.gov leadership.
• Conduct fraud risk assessments to identify program vulnerabilities, assess risks, establish risk tolerances, and develop risk responses and mitigating controls.
• Develop a fraud response plan covering scaling procedures, scenario planning, response management for potential fraud events, and exercises to test team readiness.
• Communicate with customers and stakeholders to support program execution.

What This Job Offers

• Job Type: Full-time