[Remote/WFM] Fraud Data Analyst

Remote Full-time
Unlock your potential with a new role at workwarp as a Fraud Data Analyst! This is a fully Remote role, offering you the flexibility to work from anywhere. This position requires a strong and diverse skillset in relevant areas to drive success. The compensation for this role is a competitive salary, reflecting our commitment to attracting the best. Â Â Description:
• Amivero’s team of IT professionals delivers digital services that elevate the federal government
• Our human-centered, data-driven approach is focused on truly understanding the environment and the challenges
• You will use your empathy for a customer’s situation, your passion for service, and your energy for solutioning
• Bring modernization to very important, mission-critical, and public service government IT systems.
• Work with the federal government to develop fraud analytic models that identify suspicious activity for further investigation and possible intervention.
• Implement and practice fraud monitoring, fraud analytics, fraud alerting, and prevent fraud.
• Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends.
• Collaborate with the Login.gov DevOps and SecOps teams to improve data infrastructure and engineering.
• Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud.
• Continuously monitor the performance of the fraud analytic models to ensure effectiveness.
• Support the development of dashboards to report key performance indicators and suspicious activity alerts.
• Conduct fraud risk assessments to understand vulnerabilities and develop risk responses.
• Develop a fraud response plan that includes scenario planning and response management for potential fraud events.
Requirements:
• US Citizenship required to obtain Public Trust
• Bachelor’s Degree + 10 years of relevant experience
• Experience with Google Workspace, SQL, Python, 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.
• 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.
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