Senior Lead Analytics Consultant - Internal Fraud Insights and Analysis

Senior Lead Analytics Consultant

Wells Fargo is seeking a Senior Lead Analytics Consultant within the Global Employee Fraud Monitoring & Fraud Policy Insights & Analysis team.

This role serves as a senior analytics leader responsible for establishing and driving the enterprise analytics strategy supporting the Internal Fraud Program. The individual will provide strategic leadership for enterprise fraud monitoring, policy insights, advanced analytics, governance reporting, and performance measurement across employee fraud risk management activities.

Additionally, the Senior Lead Analytics Consultant will define, standardize, and drive adoption of enterprise internal fraud metrics, oversee complex analytical initiatives, identify emerging risks and trends, and deliver actionable insights to executive leadership. This role will partner across Fraud Risk, Compliance, Operational Risk, Human Resources, Employee Relations, Legal, Investigations, Technology, and Independent Risk Management to enhance the organization's ability to identify, monitor, measure, and mitigate employee fraud risk.

Will serve as a trusted advisor to senior leadership, influence enterprise strategy through data-driven insights, and help advance innovative analytical capabilities including artificial intelligence, predictive analytics, and graph-based risk detection techniques.

In This Role, You Will:

• Lead the enterprise analytics strategy for the Global Employee Fraud Monitoring & Fraud Policy Insights & Analysis organization.
• Define, standardize, and socialize enterprise-wide internal fraud metrics to improve risk transparency, consistency, and decision-making across business groups.
• Serve as a strategic advisor to senior leadership regarding employee fraud risk trends, performance metrics, emerging risks, analytical opportunities, and monitoring effectiveness.
• Establish and maintain an enterprise portfolio of key risk indicators (KRIs), key performance indicators (KPIs), executive scorecards, and governance reporting.
• Lead development of advanced analytical solutions that identify patterns, behavioral anomalies, emerging fraud schemes, and control gaps.
• Drive enterprise adoption of data-driven decision making through actionable insights, executive reporting, and strategic recommendations.
• Direct highly complex analytical initiatives involving multiple business groups, risk functions, systems, and data sources.
• Develop long-term analytical roadmaps aligned with Internal Fraud Program objectives, regulatory expectations, and organizational strategy.
• Champion innovation through application of artificial intelligence, machine learning, network analytics, and predictive modeling techniques.
• Assess inherent and residual employee fraud risks and recommend improvements to monitoring strategies, controls, and risk mitigation activities.
• Engage directly with senior executives, regulators, audit partners, legal counsel, employee relations, and independent risk management functions.
• Lead development and execution of executive reporting routines, business reviews, governance committees, and regulatory deliverables.
• Ensure analytics and reporting adhere to enterprise data governance, data management, risk management, and compliance requirements.
• Establish analytical standards, governance frameworks, and monitoring methodologies that promote consistency, sustainability, and policy adherence.
• Provide technical leadership, coaching, and mentorship to analytics professionals while fostering analytical excellence and continuous improvement.
• Influence prioritization of enterprise analytical investments, technology capabilities, and strategic initiatives supporting Internal Fraud Risk Management.
• Act as a recognized subject matter expert and trusted advisor on enterprise internal fraud analytics, monitoring effectiveness, policy insights, and performance measurement.
• Influence strategic decisions across business, risk, compliance, and technology organizations through data-driven recommendations.
• Lead highly visible and complex initiatives requiring enterprise coordination and executive engagement.
• Support development of future-state analytical capabilities, including AI-enabled monitoring, graph analytics, automation, and advanced fraud detection methodologies.

Required Qualifications:

• 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired

Qualifications:

• Advanced proficiency in SQL, Python, Power BI, and Alteryx.
• Experience applying AI, machine learning, predictive analytics, anomaly detection, and advanced statistical techniques.
• Knowledge of graph analytics, network analysis, and Neo4j preferred.
• Experience supporting internal fraud, investigations, employee conduct risk, compliance, audit, operational risk, or enterprise risk management programs.
• Proven leadership of enterprise analytics programs, measurement frameworks,…