Fraud Abuse Specialist, Digital Fraud & Abuse

GEICO

Remote

Quick summary

Work type: Remote
Location: Bethesda, MDPalo Alto, CADallas, TXSeattle, WA
Salary: $100,000–$215,000 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $158k

$86k most similar roles pay here $229k

This role pays less than 57% of similar roles. Most pay $142,400–$195,381 — the shaded band above. At the midpoint, this role pays about $158k versus about $169k for comparable roles.

Based on 238 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 131 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 131 roles with salary data.

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View all roles at GEICO

At a glance

TL;DR · Fraud Abuse Specialist, Digital Fraud & Abuse

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Join GEICO’s Digital Fraud & Abuse team as a Fraud Abuse Specialist, where you will develop and maintain advanced fraud models to detect suspicious activity across various business sectors using SQL, Python, machine learning, and data science. You’ll collaborate with engineers and product teams to standardize processes that enable smart decision-making and respond quickly to emerging threats. Your day-to-day responsibilities include performing risk analyses, managing complex datasets, integrating third-party technology tools, and overseeing the performance of fraud analytic models. Additionally, you will create dashboards for reporting key performance indicators and assist in developing mitigation strategies by conducting comprehensive fraud risk assessments. Ideal candidates have a background in data science or related fields with 5+ years of experience in digital fraud prevention, strong technical proficiency, and proven ability to influence organizational change in large environments. Experience with adaptive authentication and device intelligence is preferred.

Skills

SQL Python R Tableau machine learning data science relational databases non-relational databases APIs CI/CD agentic AI systems adaptive authentication device intelligence risk engines

What you'll do

Develop and maintain advanced fraud models to detect identity fraud and account takeover.
Perform risk analyses using SQL, Python, and R on complex data sets.
Monitor fraud analytics including social network analysis and unsupervised monitoring techniques.
Establish anomaly behaviors and indicators for active response to suspicious activities.
Integrate third-party technology provider data to enhance fraud detection capabilities continuously.
Conduct comprehensive fraud risk assessments to identify vulnerabilities and recommend mitigation strategies.
Assist in developing dashboards using Tableau to report key performance indicators and generate alerts.

What we're looking for

5+ years of experience in digital fraud, abuse prevention, or related fields.
Bachelor’s degree in Math, Statistics, Computer Science, or a related field.
Strong technical proficiency with APIs, data workflows, and customer environments.
Experience building machine learning and heuristic fraud signals and rules.
Proven ability to influence organizational change in large, matrixed environments.
Demonstrated experience working closely with product and engineering teams.

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