Develop fraud analytic models to identify suspicious activity for further investigation and possible intervention in government IT systems
Requirements
- Experience with entity resolution
- 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
- Ability to learn and operate a variety of data systems and software tools used in investigations
Responsibilities
- Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns
- Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud
- Collaborate with the Login.gov DevOps and SecOps teams to improve the data infrastructure, engineering, and software to deploy, scale, and operationalize the analytics program
- Monitor fraud analytics that may include Identify and Entity Resolutions/Detection, Social Network Analysis, Unsupervised Monitoring
- Incorporate relevant data from third-party technology providers and tools to continuously improve and enhance fraud detection models
- Support the development of dashboards to report key performance indicators and suspicious activity alerts for the operations team and Login.gov leadership
Other
- US Citizenship required to obtain Public Trust
- Bachelor’s Degree + 10 years of relevant experience
- Passion for identifying problems and finding the best possible solution
- Ability to work autonomously and deliver high-quality work in pursuit of a common team goal
- Ability to succinctly articulate complex ideas and explain technical decisions to technical and non-technical audiences
