Fraud Prevention Specialst

Boats Group • Miami, FL

2d • Hybrid

About The Position

Fraud Prevention Specialist - Miami/Hybrid About the Role Boats Group is seeking a Fraud Prevention Specialist to join our Security team and take ownership of our digital identity and fraud prevention infrastructure. Boats Group operates the world's leading marine marketplaces—connecting millions of buyers with boat dealers, manufacturers, and private sellers globally. In this role, you will be critical to maintaining trust and safety across our platforms by detecting and preventing fraud, protecting our 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.

Requirements

• 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 ability to work effectively across technical and non-technical teams.
• Self-starter mentality with ability to work independently and drive initiatives to completion.
• Excellent problem-solving skills and ability to balance fraud prevention with user experience.

Nice To Haves

• 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.
• Understanding of fraud patterns in the marine, automotive, or similar vertical markets.
• 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.

Responsibilities

• 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 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.

Benefits

• Hybrid Work Flexibility: Embrace a balanced work model with remote work on Mondays and Fridays and in-office collaboration from Tuesday to Thursday.
• Generous Time Off: With a strong focus on work/life balance, we offer all employees paid time off starting on day one, multiple paid holidays throughout the year, your birthday off, and a winter break at the end of the year
• Volunteering Time: Participate in our volunteer program with 4 paid days annually to contribute to your community.
• Modern Office Perks: Our vibrant Miami office features cutting-edge amenities, such as an electric sit/stand desk, dual monitors, a gym, and a variety of snacks and beverages.
• Comprehensive Benefits Package: Enjoy top-tier Medical, Dental, Vision, and Life insurance, along with a 401(k) plan featuring a 4% match.
• Commuter Benefits: Park conveniently in our building’s garage at no charge to you. For train commuters, we subsidize most, if not all, of your monthly pass expenses.
• Professional Development: Take advantage of online training, live courses, and additional funds for courses, seminars, and certifications to enhance your skills.
• Team-Centric Atmosphere: Be part of a close-knit team that prioritizes relationship-building and personal connections

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees