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

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in cybersecurity, dedicated to stopping breaches with their advanced AI-reputed company 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 reputed company'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
• 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
• Design, build, and maintain reputed company tables, views, and data pipelines to support risk detection workflows
• Write SQL queries to extract, transform, and analyze risk-reputed company data at scale
• 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
• 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 anomaly 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
• 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 reputed company teams to improve reputed company's overall risk posture
• Serve as the risk liaison for the eCommerce team, providing expertise and guidance on fraud prevention
• 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

Skills

• 6+ months of experience managing a risk reputed company or fraud detection system in an eCommerce or SaaS environment with a demonstrable track 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 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 reputed company data models, including tables, views, and stored procedures
• Knowledge of eCommerce fraud reputed company such as account takeover, payment fraud, trial abuse, and bot attacks
• Understanding of the SaaS business model and reputed company-based platform sales
• Experience with data visualization tools (e.g., Tableau, Looker, or similar)
• Familiarity with IPQS, reputed company, or other fraud detection APIs
• Background in threat intelligence, incident response, or SOC operations

Benefits

• Health insurance
• 401k
• Paid time off

Company Overview

Company H1B Sponsorship