Tech Stack
JavaScriptPythonSQLTableau
About the role
- The Gist… 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.
- What Your Day Might Include… Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns within Login’s partner ecosystem.
- 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.
- Continuously monitor the performance of the fraud analytic models to ensure effectiveness as fraud schemes shift and evolve.
- Support the development of dashboards to report key performance indicators and suspicious activity alerts for the operations team and Login.gov leadership.
- Conduct fraud risk assessments to understand program vulnerabilities, assess fraud risks, establish risk tolerances, and develop risk responses and mitigating control activities.
- Develop a fraud response plan that includes scaling procedures for fraud control activities, scenario planning and response management for potential fraud events, and facilitation of exercises to test team readiness.
- Establish and report Key Performance Indicators, which may include number of alerts received, adjudication outcomes, time to clear alerts, fraud type, and entry point.
Requirements
- US Citizenship required to obtain Public Trust.
- Bachelor’s Degree + 10 years of relevant experience.
- Must have experience with entity resolution
- The ideal candidate is seasoned in Fraud/Identity operations.
- 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.