Fraud Data Analyst

Description

The Amivero Team

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.

Special Requirements

• US Citizenship required to obtain Public Trust
• Bachelor’s Degree + 10 years of  relevant experience

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. You   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.

What Your Day Might Include…

• 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.

Requirements

You’ll Bring These   Qualifications…

• US Citizenship required to   obtain Public Trust.
• Bachelor’s Degree + 10 years   of relevant experience.
• 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.