Bachelor's Degree in Statistics, Mathematics, Computer Science or related field
OR 1+ year(s) of experience, large-scale computing, modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM) and operations incident response.
Experience in deep data analytics including for fraud detection and prevention, understanding of data management processes and practices, and data quality control.
Experience with security or compliance analytics or security operations.
Write, speak, and read fluently in English
Preferred Qualifications:
Experience with heuristic and machine learning analytical models and risk management methodology
Knowledge of Microsoft commercial business programs and operations
Knowledge of Microsoft compliance and security practices and processes.
Ability to write and read fluently in a second language is preferred, including Arabic, Chinese, Spanish, Portuguese, or Russian,
CFE, CompTIA Security+, or CISSP certification.
Azure Fundamentals Certification.
Responsibilities
Drive Down Fraud and Compliance issues in critical customer and partner facing programs.
Analyze Security, Compliance, and Fraud Data from Live Systems.
Recommend remediation actions and investigative referrals.
Deliver fraud analysis and decisions on real time cases.
Revise live site security rules and settings to prevent additional issues.
Analyze ongoing performance of the rules and objectives
Propose service changes and new features in order to ensure continuing excellence.
Participate in cross team projects and forums dedicated to improving fraud management at Microsoft.