Fraud Specialist

The position is in the Washington, DC area and is a fully remote position. The Fraud 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. They will implement and practice fraud monitoring, fraud analytics, fraud alerting, fraud prevention, and communication with customers and stakeholders to support the execution of the program.

Location: Washington, D.C., Remote
Qualifications:

• Bachelor's Degree + 5 years of relevant experience.
• 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.

Duties and 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.
• 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. Decision Making Authority Decision-making authority for own individual work efforts delivered as part of day-to-day support of the program.

Job Type: Full-time

Pay: $118,000.00 - $125,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Schedule:

• Monday to Friday

Education:

• Bachelor's (Required)

Experience:

• Fraud Analyst: 5 years (Required)
• Fraud/Identity operations: 5 years (Required)
• Google Workspace, SQL, Python, analytics tools: 4 years (Required)
• data visualization/enabling dynamic dashboards in Tableau: 4 years (Required)
• Develop and maintain fraud models to detect identity fraud: 5 years (Required)
• Conduct fraud risk assessments to understand vulnerabilities: 4 years (Required)

Location:

• Washington, DC (Required)

Security clearance:

• Confidential (Preferred)

Work Location: Remote