Fraud Data Analyst
Description:
The Amivero Team
Amiveros 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 customers 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
Bachelors Degree + 10 years of relevant experience
Due to compliance and operational considerations, we are currently unable to hire employees residing in the following states: California, Illinois, New York, Washington, and Colorado. Please check future postings with Amivero, as our hiring capabilities may expand over time.
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 Logins 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:
Youll Bring These Qualifications
US Citizenship required to obtain Public Trust.
Bachelors 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.
EOE/M/F/VET/DISABLED
All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
Apply Now
The Amivero Team
Amiveros 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 customers 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
Bachelors Degree + 10 years of relevant experience
Due to compliance and operational considerations, we are currently unable to hire employees residing in the following states: California, Illinois, New York, Washington, and Colorado. Please check future postings with Amivero, as our hiring capabilities may expand over time.
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 Logins 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:
Youll Bring These Qualifications
US Citizenship required to obtain Public Trust.
Bachelors 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.
EOE/M/F/VET/DISABLED
All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
Apply Now