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Job: Cyber Risk and Fraud Prevention Specialist
Location: Miami, FL (Hybrid)
Job Type: Direct Hire
What We Are Looking For
We 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 Do
- Own and manage fraud prevention and digital identity platforms, including configuration, optimization, and operational health monitoring
- Develop, implement, and continuously refine fraud detection rules, policies, and risk scoring models tailored to marketplace and e?commerce fraud patterns
- Analyze fraud trends, transaction patterns, and behavioral signals to identify emerging threats across account creation, listings, and payment flows
- Investigate high?risk accounts, suspicious listings, and fraudulent transactions, conducting thorough root cause analysis and documenting findings
- Partner with Data Science teams to enhance machine learning models and risk scoring algorithms using fraud platform data and digital identity signals
- Collaborate with Fraud Operations on case management workflows, decisioning strategies, and fraud review processes
- Work closely with Customer Support to balance fraud prevention with a positive user experience, minimizing false positives and customer friction
- Engage with Engineering teams to manage API integrations, implement device fingerprinting, and ensure seamless technical implementation of fraud controls
- Create and maintain dashboards, reporting, and KPIs to track fraud metrics, platform performance, and operational effectiveness
- Research and monitor emerging fraud tactics in marketplace, e?commerce, and classified ads environments, proactively adapting detection strategies
- Write SQL queries to analyze fraud data, identify patterns, and support investigations
- Develop scripts and automation to streamline fraud detection workflows and data analysis
- Document fraud prevention procedures, playbooks, and best practices for cross?functional teams
- Support incident response efforts related to fraud attacks, account compromise, and platform abuse
What You Should Have
- 3–5 years of experience in fraud prevention, risk operations, trust & safety, or related security roles within e?commerce or marketplace environments
- Hands?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 anomalies
- Proficiency with SQL for data analysis, fraud investigations, and custom reporting
- Scripting experience (Python, JavaScript, or similar) for automation and data manipulation
- Understanding of digital identity signals including device fingerprinting, IP intelligence, behavioral biometrics, and velocity checks
- Experience investigating diverse fraud types: payment fraud, account takeover (ATO), listing fraud, seller/buyer fraud, and automated bot attacks
- Technical aptitude for working with APIs, integrations, and data pipelines
- Strong communication and collaboration skills with the ability to work effectively across technical and non?technical teams
- Self?starter mentality with the ability to work independently and drive initiatives to completion
- Excellent problem?solving skills and the ability to balance fraud prevention with user experience
What You May Have
- Certifications such as CFE (Certified Fraud Examiner), CAMS (Certified Anti?Money Laundering Specialist), or related credentials
- Background in fraud prevention specific to classified ads, marketplace, or high?value transaction environments
- Experience with payment fraud schemes, chargeback management, and financial crime patterns
- Knowledge of AI and machine learning approaches to fraud detection and experience collaborating with data scientists
- Familiarity with fraud orchestration platforms, case management systems, or SIEM tools
- Experience with A/B testing and experimentation frameworks for fraud rule optimization
- Experience with data visualization tools (Tableau, Looker, Power BI) for fraud reporting and analytics
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Equal Employment Opportunity Statement
Gravity 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.