Senior Fraud Operations Analyst

About the position

The Sr. Fraud Operations Analyst is a core Fraud team member that performs complex product abuse and fraud investigations. They will be responsible for independently handling fraud investigations, identifying fraud vulnerabilities, designing cross-team handling procedures and training Support teams on verification procedures. The ideal candidate will have experience performing technical product investigations from ticket/escalation to data analysis and source-code review. This role will challenge you to think 'outside-the-box' and requires effective communication and prioritization skills.

Responsibilities

• Investigate customer-reported events such as account takeover, anomalous activity and abuse reports.
• Review, classify and respond to chargebacks and events due to fraud.
• Investigate volumetric/anomaly alerts generated by Apollo’s fraud detection services.
• Perform attribution analysis of scaled fraud events through data analysis (SQL/Python).
• Handle external brand abuse cases and takedowns.
• Build fraud event classification and retroactive analysis processes across Fraud, Security, Support, Billing and Sales.
• Identify and incorporate key data sources for manual and automated investigation enhancements.
• Determine functional fraud vulnerabilities and partner with Product/Engineering to prioritize remediation.
• Review external fraud actor activity and leverage open source intelligence techniques for threat actor profiling.
• Design low-friction KYB/KYC and asynchronous verification procedures.
• Coach and lead junior Fraud Analysts and non subject-matter experts.
• Collaborate with customer-facing Support staff regularly on customer issues.

Requirements

• 3+ years of experience in fraud investigations or similar operations roles.
• Demonstrable SQL-based querying skills (Simple queries such as inner/outer joins, CTEs). Experience with MongoDB is a significant plus.
• Chargebacks, disputes and ACH are familiar terms of which you understand the full lifecycle.
• Familiarity with rules-based fraud rule development such as Stripe Radar, Signified etc.
• Experience creating, writing, and providing training on complex operational processes for customer facing or fraud teams.
• An inquisitive and investigative nature: You are driven by curiosity and seek answers to problems by sifting through messages, logs and tangible evidence to understand the mindset and actions of an attacker.
• Willingness and strong desire to work independently and problem-solve with visionary guidance.
• Positive, learning mindset along with a detail-oriented, analytical approach to problem solving.
• Comfort with self-prioritization and letting 'small fires burn.'
• Good written and spoken English proficiency.

Nice-to-haves

• Experience with MongoDB.
• Familiarity with rules-based fraud rule development such as Stripe Radar, Signified etc.

Benefits

• Growth opportunities and resources for personal development.
• Supportive and collaborative work environment.
• Encouragement of bold ideas and courageous action.