Lead Fraud Operations Analyst

About the Role

 As the Lead Fraud Operations Analyst at Apollo, you’ll be the hands-on technical lead for fraud investigations, detection, and prevention operations across our large-scale SaaS platform. You’ll combine security operations discipline, data-driven investigation, and engineering curiosity to safeguard Apollo’s customers and systems from abuse, payment fraud, and account compromise.

This is a highly technical, cross-functional role—ideal for someone who thrives in cross occasionally ambiguous environments, loves diving into SQL, logs, and source code, and wants to become the de facto owner of Fraud Operations infrastructure, tooling, and processes.

• Act as the primary escalation point for complex fraud and abuse investigations across Apollo’s ecosystem.
• Perform root-cause analysis of new exploit behaviors, account takeovers, transactions, and scaled abuse events using data queries (SQL, Python), system logs and testing.
• Conduct forensic investigations into fraud model classifications, rule bypasses, and external abuse tool behaviors.
• Build and maintain investigation frameworks that allow rapid detection and classification of fraud patterns.

• Configure, tune, and evaluate rules-based and model-driven fraud detection systems (e.g., Stripe Radar, Signified, or internal models).
• Collaborate with Engineering to enhance fraud detection logic and event pipelines; identify and close systemic gaps through code- or model-level feedback loops.
• Use Cursor or equivalent AI-assisted dev tools to review Ruby-based backend logic, reverse-engineer fraud actor patterns, and suggest mitigations.
• Design data instrumentation for new product surfaces to improve visibility and prevention efficacy.

• Partner with Product, Engineering, and Security to define and operationalize incident handling and postmortem processes for fraud-related events.
• Lead cross-functional response efforts for fraud spikes or payment performance degradations.
• Serve as a bridge between Customer Support and Technical Teams—ensuring operational processes are consistent, automated, and scalable.

• Train and coach Fraud Analysts, Support, and Billing teams in investigative methods and data literacy.
• Design KYC/KYB verification workflows that balance customer experience and risk control.
• Create and maintain documentation, playbooks, and knowledge bases for fraud and abuse response.

• 5+ years of experience in fraud operations, trust & safety, or security operations roles.
• Strong SQL proficiency (joins, CTEs, aggregates); familiarity with Python and data visualization tools.
• Experience reviewing or debugging application code (Ruby preferred), using tools like Cursor, GitHub Copilot, or IDEs for root-cause exploration.
• Familiarity with payment systems (chargebacks, disputes, ACH) and the associated fraud lifecycle.
• Understanding of fraud detection models and risk-scoring logic; experience configuring or auditing rule-based systems.
• Exposure to threat intelligence, OSINT, or brand abuse takedown workflows a plus.
• Demonstrated ability to lead investigations independently, prioritize in ambiguity, and deliver results across multiple teams.
• Exceptional written and verbal communication skills; capable of translating technical detail into operational action.
• Comfortable working remotely in a fast-paced, data-driven, and highly collaborative environment.