Lead Fraud Operations Analyst

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

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.

What You’ll Do

Lead Fraud Operations and Investigations

• 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.

Develop and Optimize Fraud Detection Systems

• 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.

Cross-Team Coordination and Incident Management

• 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.

Mentorship and Enablement

• 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.

What You’ll Bring

• 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.

We are AI Native

Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. 

Learn more here!