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.
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.
The listed Pay Range reflects base salary range, except for sales roles, the range provided is the role’s On Target Earnings ('OTE') range, meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Annual Pay Range
$92,000—$125,000 USD
About the job
Apply for this position
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.
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.
The listed Pay Range reflects base salary range, except for sales roles, the range provided is the role’s On Target Earnings ('OTE') range, meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Annual Pay Range
$92,000—$125,000 USD