AI Fraud and Risk Automation Analyst; Remote

About Crowd Strike

Crowd Strike, Inc. — Full time position

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission has been to stop breaches, and we redefine modern security with the world’s most advanced AI-native platform. Our customers span all industries and rely on Crowd Strike to keep their businesses running and communities safe. We are a mission-driven company that values flexibility, autonomy, and a culture of innovation.

We seek talented Crowd Strikers who are passionate about customers, our community and each other.

About the Role

As an AI Fraud and Risk Automation Analyst working with the eCommerce team, you will be on the front lines of protecting Crowd Strike’s intellectual property and preventing our security products from falling into adversarial hands. You will join a world-class team of risk experts to develop tools, leverage AI-powered analytics, and build investigative capabilities to stay ahead of threat actors.

This role combines data science, threat intelligence, and cybersecurity expertise to create a dynamic risk detection system. You will work with large-scale datasets in Snowflake, develop AI-assisted detection models, and build automated workflows that identify fraudulent activity before it impacts the business.

• Risk Detection & Analysis:
  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

• Data Engineering & Analytics:
  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

• AI & Machine Learning Integration:
  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

• Stakeholder Collaboration & Communication:
  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 Crowd Strike's overall risk posture

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

• Incident Response & Monitoring:
  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

• 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…