Reports to: Head of Risk

About FanBasis

Location: In-Person – Miami, FL

About FanBasis

FanBasis is a leading platform that enables entrepreneurs, experts, and creators to build and scale digital product and service-based businesses. Our platform gives creators the tools to launch memberships, courses, communities, and digital offers while managing payments, subscriptions, and customer engagement all in one place.

As the internet economy continues to grow, FanBasis is building the infrastructure that allows individuals to turn their knowledge, audience, and influence into sustainable businesses.

About the Role

FanBasis is seeking a Fraud and Risk Analyst to support the Risk team by identifying, investigating, and preventing fraudulent activity across the platform. This role focuses on analyzing transaction and behavioral data to detect fraud patterns, developing detection methods, and improving monitoring systems that protect the platform, creators, and customers.

You will work closely with Risk, Engineering, Product, and Payments teams to strengthen fraud prevention strategies while ensuring a smooth and secure user experience.

The ideal candidate is someone who is deeply analytical, curious, and comfortable working with large datasets, and who can translate complex data into actionable insights that reduce fraud and improve platform security.

Role Responsibilities

• Monitor platform activity and payments to identify suspicious behavior and potential fraud
• Investigate accounts, transactions, and behavioral patterns across the platform
• Review and manage fraud alerts, risk signals, and investigation cases across multiple monitoring systems and dashboards
• Investigate and manage disputes, chargebacks, and payment-related fraud incidents
• Support KYC/KYB onboarding reviews and ongoing account risk assessments
• Monitor transactions across multiple payment rails including credit cards, ACH, BNPL, and wires
• Identify fraud patterns and help refine detection rules, monitoring workflows, and internal risk processes
• Work closely with Product, Engineering, Payments, and Risk teams to strengthen fraud prevention systems
• Build or leverage AI tools and automation to improve fraud detection, investigations, and reporting
• Maintain clear documentation of investigations, risk decisions, and fraud trends

What We're Looking For

• 2–4+ years of experience in fraud analysis, payments risk, trust & safety, or financial crime operations
• Experience working with payment platforms, fintech products, or digital marketplaces
• Familiarity with fraud alerts, case management systems, disputes, and chargeback workflows
• Understanding of risk across different payment rails (cards, ACH, BNPL, wires)
• Ability to navigate multiple dashboards, tools, and operational systems simultaneously
• Strong analytical and investigative mindset with attention to detail
• Experience using or building AI tools to assist fraud detection or investigations
• Familiarity with data tools, fraud platforms, or SQL is a plus
• Certifications in fraud prevention, financial crime, or AI are a strong plus

Schedule

Monday to Friday, 9 am – 6 pm

Benefits

• Competitive salary and benefits package
• Gym membership packages
• Paid time off and company-paid holidays
• Team-Buidling events, company lunches, and swag
• Opportunity to be a part of a fast-growing team of Industry Experts.

About the Role

FanBasis is seeking a Fraud Analyst to support the Risk team by identifying, investigating, and

preventing fraudulent activity across the platform.

This role focuses on analyzing transaction and behavioral data to detect fraud patterns,

developing detection methods, and improving monitoring systems that protect the platform,

creators, and customers.

You will work closely with Risk, Engineering, Product, and Payments teams to strengthen fraud

prevention strategies while ensuring a smooth and secure user experience.

The ideal candidate is someone who is deeply analytical, curious, and comfortable working with

large datasets, and who can translate complex data into actionable insights that reduce fraud and

improve platform security.