Amivero's team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people. As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems. Our Data Analyst will be instrumental in working with the federal government to develop fraud analytic models that identify suspicious activity for further investigation and possible intervention.
Requirements
- 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 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.
Responsibilities
- Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns occurring within Login’s partner ecosystem.
- Use data analytics findings to inform program strategy, LexisNexis fraud policy configuration tuning, team staffing levels, and the acquisition of new technology to support evolving identity fraud threats.
- 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.
- Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud.
- Monitor fraud analytics that may include Identify and Entity Resolutions/Detection, Social Network Analysis, Unsupervised Monitoring.
- Establish in-range and out-of-range anomaly behaviors and indicators that will trigger action.
- Incorporate relevant data from third-party technology providers and tools to continuously improve and enhance fraud detection models.
Other
- US Citizenship required to obtain Public Trust
- Bachelor’s Degree + 10 years of relevant experience
- The ideal candidate is seasoned in Fraud/Identity operations.
- 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.
