Fraud Data Analytics Lead - GSA Login

Amivero

$100K — $130K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree + 10 years of experience required.
  • US Citizenship required to obtain Public Trust.
  • Seasoned in Fraud/Identity operations.
  • Proficient in Tableau, LexisNexis, SQL, and analytics tools.
  • Experience with both relational and non-relational database systems.
  • Detail-oriented with strong verbal, written, and analytical skills.
  • Ability to work autonomously and prioritize effectively.

Responsibilities

  • Lead and mentor a team of fraud analysts.
  • Assign tasks and track performance of team members.
  • Utilize data analytics to inform program strategies and technology acquisitions.
  • Collaborate with DevOps and SecOps teams to enhance data infrastructure.
  • Develop and maintain fraud models for various identity fraud types.
  • Monitor and analyze fraud indicators and anomalies.
  • Conduct fraud risk assessments and develop mitigation strategies.

Benefits

  • Opportunity to work with federal government on critical fraud detection initiatives.
  • Continuous learning environment with exposure to advanced analytics tools.
  • Chance to impact public trust and safety through fraud prevention efforts.
  • Collaborative team culture with a focus on shared goals.
  • Involvement in technology advancements relevant to fraud analytics.
Full Job Description
Description

Special Requirements
Bachelor's Degree + 10 years' experience
US Citizenship required to obtain Public Trust

The Gist...
Our Fraud Data Analytics Lead will lead a team of fraud analysts and 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 customer sand stakeholders to support the execution of the program.

What Your Day Might Include...
• Mentor and review work of Fraud Analysts on the team
• Assign tasks, set deadlines and track individual performance
• 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.

Qualifications

  • Bachelors Degree + 10 years
  • US Citizenship Required to obtain Public Trust
  • The ideal candidate is seasoned in Fraud/Identity operations
  • Experience with Tableau, LexisNexis, SQL, and analytics tools
  • Experience with both relational and non-relational database systems
  • 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


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