Fraud Abuse Specialist, Digital Fraud & Abuse

GEICO•Bethesda, MD

2d•$100,000 - $215,000

About The Position

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.

Requirements

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.

Nice To Haves

Experience building programmatic fraud prevention capabilities
Insurance, fintech, or large‑scale consumer digital platform experience
Familiarity with adaptive authentication, device intelligence, and risk engines
Relevant certifications

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.
Assist in developing dashboards to report key performance indicators and generate suspicious activity alerts for the operations team.
Conduct comprehensive fraud risk assessments to identify program vulnerabilities, evaluate risks, set tolerances, and recommend mitigation strategies.
Establish and report on Key Performance Indicators, including alert volume, adjudication outcomes, time to resolution, fraud type, and entry point.
Demonstrate proficiency in data visualization and dynamic dashboard creation using Tableau.
Possess experience with both relational and non-relational database systems and architecture.
Exhibit a strong passion for problem identification and solution optimization.
Maintain 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.