Senior Lead Analytics Consultant, Employee Fraud Monitoring

What you'll do

• Lead the strategy, design, development, and implementation of enterprise internal fraud detection rules.
• Identify emerging threats and assess control gaps to improve risk coverage and detection effectiveness.
• Execute and oversee monitoring controls to ensure consistent and effective fraud detection across the organization.
• Use advanced SAS and SQL analytics to evaluate complex data environments and uncover fraud risk indicators.
• Translate business, operational, and control requirements into scalable analytical solutions that balance risk and efficiency.
• Partner with senior leaders and cross-functional teams to drive the implementation of monitoring solutions.
• Serve as a subject matter expert and escalation point for fraud detection strategy and monitoring decisions.
• Manage governance, documentation, and audit readiness for all fraud monitoring activities.

What we're looking for

• 7+ years of experience in Analytics, Reporting, Financial Modeling, or Statistics.
• 4+ years of hands-on experience with SAS and SQL for fraud monitoring or identifying anomalous activity.
• Deep knowledge of internal fraud risk management, employee fraud typologies, and proactive monitoring strategies (preferred).
• Experience designing and implementing rule-based detection strategies to identify potential fraud (preferred).
• Experience leveraging large, complex datasets to build proactive monitoring solutions (preferred).
• Experience with advanced analytics techniques including statistical modeling and machine learning (preferred).
• Quantitative educational background in Statistics, Economics, or Mathematics (preferred).
• Familiarity with Python or other tools for automation (preferred).