Trust & Safety, Intelligence Analyst

About the Role

The Trust & Safety Detection & Intelligence team identifies, investigates, and helps disrupt fraud, abuse, and other threats across the Fetch platform. The team combines investigative rigor, data analysis, detection development, automation, and cross-functional collaboration to understand emerging risks and develop scalable responses.

As a Trust & Safety, Intelligence Analyst you will investigate suspicious activity, identify emerging abuse patterns, develop and improve fraud detections, and translate your findings into actionable recommendations. You will work with large and varied datasets, assess the performance of rules and automated systems, and help turn individual cases into durable improvements across detection, product, policy, operations, and enforcement.

This is an individual contributor role for someone who is analytically curious, comfortable working through ambiguity, and motivated by understanding how sophisticated actors exploit systems.

• Analyze account, device, transaction, receipt, redemption, and behavioral data to identify emerging fraud, abuse, coordinated activity, policy evasion, incentive manipulation, and other threats.
• Conduct structured investigations into suspicious activity and emerging abuse patterns, escalating especially complex or novel threats for additional support.
• Identify connections among accounts, devices, identities, transactions, and behaviors to detect coordinated activity and fraud rings.
• Analyze available evidence to help assess the scope, severity, likely root cause, and business impact of identified threats.
• Support incident response by helping validate threats, define affected populations, recommend containment actions, and document lessons learned.

• Translate investigative findings and known abuse patterns into detection requirements, rules, queries, alerts, dashboards, and scalable monitoring approaches.
• Develop, test, document, and refine rules-based detections in accordance with established quality, governance, and change-management standards.
• Monitor detection performance and investigate changes in alert volume, precision, false-positive rates, coverage, and other indicators of effectiveness.
• Identify false positives, false negatives, detection gaps, and control weaknesses, and recommend improvements that balance fraud prevention with user experience and operational capacity.

• Translate fraud intelligence into actionable recommendations for product controls, policy changes, operational processes, enforcement strategies, and partner protections.
• Communicate emerging risks and material findings promptly through established escalation channels.
• Contribute analytical expertise to product launches, control assessments, vendor evaluations, and other initiatives with potential Trust & Safety implications.
• Share threat trends, attacker behaviors, detection learnings, and investigative methods to strengthen collective knowledge across the organization.

• Maintain accurate and reproducible documentation of investigative methods, detection logic, assumptions, decisions, limitations, and outcomes.
• Manage assigned investigations, detection enhancements, and project work from intake through completion, communicating progress, risks, and dependencies.
• Handle sensitive user, partner, and investigative information in accordance with applicable privacy, security, and data‑handling requirements.
• Use AI and automation responsibly, validating outputs and protecting confidential information while applying independent judgment to decisions.

• 2+ years of experience in fraud analysis,…