Fraud Data Analyst
Description:
Amiveros 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 customers 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
Bachelors 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.
Benefits:
Apply Now
Amiveros 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 customers 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
Bachelors 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.
Benefits:
Apply Now