Payments & Commercial Abuse Analyst

What you'll do

• Investigate payment fraud, account misuse, monetization abuse, and other commerce risks; assess exposure and recommend responses.
• Use SQL and analytical methods to identify abuse patterns and turn findings into detection strategies, risk signals, controls, and intelligence.
• Partner with cross-functional teams to strengthen payment risk controls and balance fraud prevention with customer experience.

What they ask for

• Experience using SQL/SPL and data analysis techniques for investigations and trend identification.
• Strong understanding of payment and commerce risk concepts, including chargebacks, account abuse, refund abuse, identity risk, and subscription fraud.
• Ability to identify risk signals and abuse patterns and translate findings into scalable detection, mitigation, or enforcement strategies.
• Strong analytical and investigative skills, communication, judgment, and ability to manage competing priorities.

Nice to have

• Experience in payments risk, commerce fraud, fraud investigations, abuse prevention, trust and safety, fraud analytics, cybersecurity investigations, threat intelligence, or enterprise risk management.
• Familiarity with machine learning, risk models, AI-driven abuse trends, or AI and automation for fraud detection.

Pay

USD $81,500 - $189,800 annually (base salary); USD $131,100 - $189,800 (base salary, California); USD $131,100 - $189,800 (base salary, New York)

Tools

SQL, SPL

AI focus

Partners with Data Science, Engineering, and AI teams to improve detection capabilities and model performance; familiarity with AI-driven abuse trends or AI-enabled fraud detection is a plus.