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.
Responsibilities
- Develop and maintain advanced fraud models to identify identity fraud, account takeover, and synthetic identity risks.
- Perform risk analyses and manage complex data sets using tools such as SQL, Python, and R.
- Monitor fraud analytics encompassing Identity and Entity Resolution/Detection, Social Network Analysis, and Unsupervised Monitoring techniques.
- Establish anomaly behaviors and indicators, both within and outside defined ranges, that prompt active response.
- Integrate data from third-party technology providers and tools to continuously enhance fraud detection capabilities.
- Oversee the ongoing performance of fraud analytic models to ensure effectiveness as fraud schemes evolve.
- Absorb and report on Key Performance Indicators, including alert volume, adjudication outcomes, time to resolution, fraud type, and entry point.
- Conduct comprehensive fraud risk assessments to identify program vulnerabilities, evaluate risks, set tolerances, and recommend mitigation strategies.
- Manage the complete lifecycle of complex issues, from identification through scalable solution implementation.
- Leverage agentic AI systems to automate workflows, enhance pattern detection, and expedite investigation and detection initiatives.
Skills
- Proficiency in data visualization and dynamic dashboard creation using Tableau.
- Experience with both relational and non-relational database systems and architecture.
- Strong problem identification and solution optimization skills.
- Meticulous attention to detail and excellent verbal, written, analytical, and organizational skills.
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
GEICO Pledge
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Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.