[Remote] AI Fraud and Risk Automation Analyst (Remote)

Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global leader in cybersecurity dedicated to stopping breaches and protecting modern organizations. The AI Fraud and Risk Automation Analyst will work with the eCommerce team to develop tools, leverage AI analytics, and build expertise to detect and prevent fraudulent activities.

Responsibilities

• 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
• Serve as the risk liaison for the eCommerce team, providing expertise and guidance on fraud prevention
• 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

Skills

• 6+ months of experience managing a risk engine or fraud detection system in an eCommerce or SaaS environment with a demonstrable track record of using rules-based approaches to prevent unauthorized access
• Strong SQL skills with experience querying and managing data in Snowflake or similar cloud data warehouses
• Proficiency in Python for data analysis, automation, and scripting
• Cybersecurity knowledge: Strong understanding of adversarial tactics, fraud vectors, and threat intelligence
• Analytical mindset: Ability to think like an adversary, identify patterns in complex datasets, and make data-driven decisions under pressure
• Communication skills: Excellent written and verbal communication skills with the ability to translate technical findings into business recommendations
• Self-starter mentality: Proven ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment
• Experience with AI/LLM tools (e.g., ChatGPT, Claude, or similar) for data analysis, threat intelligence, or automation
• Familiarity with machine learning concepts and anomaly detection techniques
• Experience building and maintaining Snowflake data models, including tables, views, and stored procedures
• Knowledge of eCommerce fraud vectors such as account takeover, payment fraud, trial abuse, and bot attacks
• Understanding of the SaaS business model and cloud-based platform sales
• Experience with data visualization tools (e.g., Tableau, Looker, or similar)
• Familiarity with IPQS, Stripe, or other fraud detection APIs
• Background in threat intelligence, incident response, or SOC operations

Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe

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