Senior Lead Analytics Consultant - Global Employee Fraud Monitoring
Senior Lead Analytics Consultant - Global Employee Fraud Monitoring
Posted 9 days ago
SENIORITY
Manager
About the role
- Lead the strategy, design, development, and implementation of enterprise internal fraud detection rules
- Drive the evolution of proactive monitoring by identifying emerging threats, assessing control gaps, and recommending rule enhancements to improve risk coverage and detection effectiveness.
- Execute and oversee monitoring controls to ensure consistent and effective fraud detection
- Provide thought leadership on fraud analytics methodologies, monitoring approaches, and industry best practices to strengthen the enterprise fraud risk proactive monitoring.
- Utilize advanced SAS and SQL analytics to evaluate large, complex data environments, uncover fraud risk indicators, and develop and optimize detection strategies.
- Translate complex business, operational, and control requirements into scalable analytical solutions that balance risk mitigation and operational efficiency
- Influence and partner with senior business leaders, Risk, Compliance, Audit, Technology, and control functions to drive implementation of monitoring solutions and control improvements.
- Provide leadership and guidance on highly complex analytical initiatives, serving as a key consultant and escalation point for fraud detection strategy and monitoring decisions.
- Operate with a high degree of independence, exercising sound judgment in managing priorities, resolving ambiguous issues, and making risk-based recommendations to senior leadership.
- Support governance, documentation, and audit readiness for fraud monitoring activities
- Deep knowledge of internal fraud risk management, employee fraud typologies, and proactive monitoring strategies
- Demonstrated experience designing and implementing rule‐based detection strategies to identify potential fraud or out‐of‐pattern or anomalous activity
- Experience leveraging large, complex datasets to build proactive monitoring solutions that identify potential fraud signals
- Experience in advanced analytics techniques, including statistical modeling, machine learning, and rule‐based detection approaches
- Experience operating within large, complex data environments with disparate data sources, systems, and database structures
- Quantitative educational background (e.g., Statistics, Economics, Mathematics) with extensive applied analytics experience
- Experience integrating and analyzing human resources, allegation, and business application data to develop holistic fraud risk insights and inform predictive monitoring strategies
- Strong familiarity with the allegation lifecycle, including intake, sensitive matters, internal investigations, root cause analysis, and customer impact considerations
- Strong executive communication skills, with the ability to clearly articulate analytical insights, risks, and recommendations to leadership, audit, and regulatory audiences
- Proven track record delivering fraud detection and monitoring solutions that are defensible and withstand regulatory and audit review
- Experience managing work in ambiguous, fast‐changing environments with competing priorities and regulatory expectations
- Familiarity with Python or additional analytics tools is preferred to support automation and analytical efficiency
- Working knowledge of advanced analytics techniques, including supervised and unsupervised machine learning and natural language processing
- Job Expectations: Must be willing to work from one of the posted locations
- This position offers a hybrid work schedule
- Visa sponsorship is not available for this position
Before you apply
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Your notice period
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