Fraud Abuse Specialist, Digital Fraud & Abuse
Qualifications
- Bachelor’s degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining.
- 5+ years of relevant analytic experience in within digital fraud, abuse prevention, identity risk, and related fields.
- Demonstrated strong technical proficiency, including the ability to understand APIs, data workflows, customer environments, and effectively translate requirements for engineering teams.
- Proven track record of influencing organizational change through influence in large, matrixed environments.
- Experience working with data and technology teams to build machine learning and heuristic fraud signals and rules.
- Experience partnering closely with product and engineering teams on platform evolution.
Skills
- Advanced data analysis skills including SQL, Python, machine learning, and data science.
- Data visualization and dynamic dashboard creation using Tableau.
- Experience with both relational and non-relational database systems and architecture.
- Meticulous attention to detail along with excellent verbal, written, analytical, and organizational skills.
- Leverage data and technical expertise to discover innovative approaches to scaling signal analysis and identifying fraudulent actors.
- Manage the complete lifecycle of complex issues, from identification through scalable solution implementation.
- Utilize agentic AI systems to automate workflows, enhance pattern detection, and expedite investigation and detection initiatives.
Pay
Annual Salary: $100,000.00 - $215,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
Schedule
Not specified
Benefits
Not specified
Benefits
Not specified
Company Information
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
About the Role
This individual contributor position is seeking a Fraud Abuse Specialist to help develop fraud analytics models that detect suspicious activity throughout GEICO’s business sector or use industry experience to create systematic solutions for persistent challenges. You’ll apply advanced data analysis skills—including SQL, Python, machine learning, and data science—to drive critical, high-impact projects by collaborating with engineers, product teams, and business stakeholders in the digital fraud domain. In this role, you will play an important part in standardizing processes that enable smart decision-making, helping us respond quickly to emerging threats.