• Parse and analyze large volumes of transactional and behavioral data to identify indicators of fraud and risk • Develop and maintain a rules-based risk engine that adapts to emerging threat patterns • Conduct ad hoc investigations on suspicious activity and emerging risk scenarios • Serve as the subject matter expert on fraud patterns, adversarial tactics, and risk mitigation strategies • Design, build, and maintain Snowflake tables, views, and data pipelines to support risk detection workflows • Write SQL queries to extract, transform, and analyze risk-related data at scale • Create and optimize data models that enable real-time and batch risk scoring • Develop Python scripts to automate data collection, analysis, and reporting processes • Leverage AI tools (including LLMs) to enhance fraud detection capabilities and generate risk insights • Collaborate with data science teams to implement machine learning models for anomaly detection • Use AI-assisted analysis to identify patterns in unstructured data (emails, user behavior, device fingerprints) • Continuously refine AI-powered detection rules based on feedback and emerging threats • Effectively communicate risk findings to technical and non-technical audiences across the organization • Document risk assessments, investigation findings, and rule changes in a clear, actionable manner • Work collaboratively with eCommerce, Sales, Legal, and Security teams to improve CrowdStrike's overall risk posture • Monitor the risk engine and Slack channels for real-time alerts and triage incidents as they unfold • Diagnose and respond to risk engine failures, false positives, and system anomalies • Review daily risk metrics and dashboards to identify trends and areas for improvement • Proactively identify vulnerabilities in the customer onboarding process and recommend mitigations