Fraud Prevention Specialist

Job: Cyber Risk and Fraud Prevention SpecialistLocation: Miami, FL (Hybrid)Job Type: Direct HireWhat We Are Looking ForWe are seeking a Fraud Prevention Specialist to join our client's Security team and take ownership of digital identity and fraud prevention infrastructure.Our client operates leading online marketplaces, connecting millions of buyers with dealers, manufacturers, and private sellers globally. In this role, you will be critical to maintaining trust and safety across platform experiences by detecting and preventing fraud, protecting customers, and enabling legitimate transactions to flow seamlessly.You will work collaboratively across Data Science, Fraud Operations, Customer Support, Engineering, and Security teams, combining technical expertise with analytical thinking to stay ahead of evolving fraud threats.What You'll DoOwn and manage fraud prevention and digital identity platforms, including configuration, optimization, and operational health monitoringDevelop, implement, and continuously refine fraud detection rules, policies, and risk scoring models tailored to marketplace and e-commerce fraud patternsAnalyze fraud trends, transaction patterns, and behavioral signals to identify emerging threats across account creation, listings, and payment flowsInvestigate high-risk accounts, suspicious listings, and fraudulent transactions, conducting thorough root cause analysis and documenting findingsPartner with Data Science teams to enhance machine learning models and risk scoring algorithms using fraud platform data and digital identity signalsCollaborate with Fraud Operations on case management workflows, decisioning strategies, and fraud review processesWork closely with Customer Support to balance fraud prevention with a positive user experience, minimizing false positives and customer frictionEngage with Engineering teams to manage API integrations, implement device fingerprinting, and ensure seamless technical implementation of fraud controlsCreate and maintain dashboards, reporting, and KPIs to track fraud metrics, platform performance, and operational effectivenessResearch and monitor emerging fraud tactics in marketplace, e-commerce, and classified ads environments, proactively adapting detection strategiesWrite SQL queries to analyze fraud data, identify patterns, and support investigationsDevelop scripts and automation to streamline fraud detection workflows and data analysisDocument fraud prevention procedures, playbooks, and best practices for cross-functional teamsSupport incident response efforts related to fraud attacks, account compromise, and platform abuseWhat You Should Have3–5 years of experience in fraud prevention, risk operations, trust & safety, or related security roles within e-commerce or marketplace environmentsHands-on experience with enterprise fraud detection platforms (e.g., LexisNexis ThreatMetrix, Sift, Forter, Kount, or similar)Strong analytical and investigative skills with proven ability to identify fraud patterns and behavioral anomaliesProficiency with SQL for data analysis, fraud investigations, and custom reportingScripting experience (Python, JavaScript, or similar) for automation and data manipulationUnderstanding of digital identity signals including device fingerprinting, IP intelligence, behavioral biometrics, and velocity checksExperience investigating diverse fraud types: payment fraud, account takeover (ATO), listing fraud, seller/buyer fraud, and automated bot attacksTechnical aptitude for working with APIs, integrations, and data pipelinesStrong communication and collaboration skills with the ability to work effectively across technical and non-technical teamsSelf-starter mentality with the ability to work independently and drive initiatives to completionExcellent problem-solving skills and the ability to balance fraud prevention with user experienceWhat You May HaveCertifications such as CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or related credentialsBackground in fraud prevention specific to classified ads, marketplace, or high-value transaction environmentsExperience with payment fraud schemes, chargeback management, and financial crime patternsKnowledge of AI and machine learning approaches to fraud detection and experience collaborating with data scientistsFamiliarity with fraud orchestration platforms, case management systems, or SIEM toolsExperience with A/B testing and experimentation frameworks for fraud rule optimizationExperience with data visualization tools (Tableau, Looker, Power BI) for fraud reporting and analyticsEqual Employment Opportunity StatementGravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.#J-18808-Ljbffr