Fraud Abuse Specialist, Digital Fraud & Abuse
Core
Develop fraud analytics models and systematic solutions to detect suspicious activity, identity fraud, account takeover, and synthetic identity risks across GEICO's digital business.
Role type
Senior IC fraud abuse specialist (data science & ML)
Builds
Fraud detection models, heuristic rules, and agentic AI workflows for identity and entity resolution
Domain
Insurance / Digital Fraud & Abuse
Deliverable
production ML models
Required skills
SQL, Python, R, machine learning, data science, relational and non-relational database architecture, API integration, Tableau, agentic AI systems
Preferred skills
programmatic fraud prevention, insurance/fintech experience, adaptive authentication, device intelligence, risk engines
Technologies
SQL, Python, R, Tableau
Responsibilities
Develop and maintain advanced fraud models; Perform risk analyses on complex data sets; Monitor fraud analytics using social network analysis and unsupervised techniques; Establish anomaly behaviors and indicators; Integrate third-party data tools; Oversee model performance; Develop dashboards for KPIs and alerts; Conduct fraud risk assessments; Report on alert volume and adjudication outcomes; Utilize agentic AI to automate workflows
Seniority
Senior, hands-on IC