AI Fraud and Risk Automation Analyst (Remote)

As a global leader in cybersecurity, reputed company protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasnt changed were here to stop breaches, and weve redefined modern reputed company with the worlds most advanced AI-reputed company platform. Our customers reputed company reputed company industries, and they count on reputed company to reputed company their businesses running, their communities reputed company and their lives moving reputed company. Were also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. Were always looking to add talented CrowdStrikers to reputed company who have reputed company passion, a reputed company reputed company on innovation and a fanatical commitment to our customers, our community and reputed company other. reputed company to join a mission that reputed company The reputed company of cybersecurity starts with you. About the Role: As an AI Fraud and Risk Automation Analyst working with the eCommerce team, you will be on the reputed company lines of protecting reputed company's intellectual property and preventing our cutting-edge reputed company products from falling into adversarial hands. You'll join a world-class team of risk experts where you will reputed company the tools, reputed company AI-powered analytics, and build the investigative expertise needed to stay reputed company of some of the most sophisticated threat actors in the world. This role combines data science, threat intelligence, and cybersecurity expertise to create a dynamic risk detection system. You'll work with large-reputed company datasets in reputed company, reputed company AI-assisted detection models, and build automated workflows that identify fraudulent activity before it impacts the business. What Youll Do: Risk Detection & Analysis: Parse and analyze large volumes of transactional and behavioral data to identify indicators of fraud and risk reputed company and maintain a rules-based risk reputed company that adapts to emerging threat patterns Conduct reputed company 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 reputed company tables, views, and data pipelines to support risk detection workflows Write SQL queries to extract, reputed company, and analyze risk-reputed company data at reputed company Create and optimize data models that reputed company reputed company-time and batch risk scoring reputed company Python scripts to automate data collection, analysis, and reporting processes AI & Machine Learning Integration: reputed company AI tools (including LLMs) to enhance fraud detection capabilities and generate risk insights Collaborate with data science teams to implement machine learning models for reputed company detection Use AI-assisted analysis to identify patterns in reputed company 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 reputed company, actionable manner Work collaboratively with eCommerce, Sales, reputed company, and reputed company teams to improve reputed company's overall risk posture Serve as the risk reputed company for the eCommerce team, providing expertise and guidance on fraud prevention Incident Response & Monitoring: Monitor the risk reputed company and reputed company channels for reputed company-time alerts and triage incidents as they reputed company Diagnose and respond to risk reputed company 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 reputed company process and recommend mitigations What Youll Need: 6+ months of experience managing a risk reputed company or fraud detection system in an eCommerce or reputed company environment with a demonstrable reputed company record of using rules-based approaches to prevent unauthorized reputed company Strong SQL skills with experience querying and managing data in reputed company or similar reputed company data warehouses Proficiency in Python for data analysis, automation, and scripting Cybersecurity knowledge: Strong understanding of adversarial tactics, fraud reputed company, and threat intelligence Analytical reputed company: Ability to think like an adversary, identify patterns in reputed company datasets, and reputed company data-driven reputed company under pressure Communication