[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 with their advanced AI-native platform. The AI Fraud and Risk Automation Analyst will protect the company's intellectual property by developing tools and leveraging AI-powered analytics to detect and prevent fraud in eCommerce. This role requires collaboration with various teams to enhance CrowdStrike's risk detection systems and ensure effective communication of risk findings.

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

• Health insurance
• 401k
• Paid time off

Company Overview

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