Fraud Data Analyst

6 days ago

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Logo of Amivero

Amivero

DevSecOps • Cyber Security • Cloud Migrations • Biometrics • Identity Management

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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