GEICO

GEICO

Fraud Abuse Specialist, Digital Fraud & Abuse

Bethesda, MD, USA

No sponsorship$100k-$215kDetected 9 hours ago
PythonSQLMachine LearningData AnalysisData ScienceData VisualizationAgentic AIStatisticsMentoring

About the role

  • When you join our company, we want you to feel valued, supported, and proud to work here.
  • In this role, you will play an important part in standardizing processes that enable smart decision-making, helping us respond quickly to emerging threats.
  • Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate.

Responsibilities

  • GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company.

Requirements

  • 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 partnering closely with product and engineering teams on platform evolution.
  • Familiarity with adaptive authentication, device intelligence, and risk engines
  • Required
  • Bachelor's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining.
  • Experience working with data and technology teams to build machine learning and heuristic fraud signals and rules.
  • Preferred
  • Experience building programmatic fraud prevention capabilities
  • Insurance, fintech, or large‑scale consumer digital platform experience
  • Relevant certifications
  • 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.

Nice to have

  • 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.
  • 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.

Skills

  • Great Company, Great Culture, Great Rewards, and Great Careers.
  • Like all large digital enterprises, GEICO faces industry‑wide challenges related to digital fraud and customer account abuse.

Compensation

  • $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.
  • Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

Benefits

  • Competitive pay, benefits, and flexibility to support your well-being and future.
  • 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.

Company info

  • Protecting customers through life's twists and turns with innovation and integrity.
  • 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.
  • The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law.
  • GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
  • This applies to all applicants and associates.
  • GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability.
  • We do not condone or tolerate an atmosphere of intimidation or harassment.
  • We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
  • Why Join GEICO?
  • At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
  • Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most.

Visa & Work Authorization

  • At this time, GEICO will not sponsor a new applicant for employment authorization for this position

This listing is sourced directly from GEICO's careers page and normalized into a canonical job model.