Lead Analytics Consultant - Global Employee Fraud Monitoring Insights and Analysis

About the role

Wells Fargo is seeking a Lead Analytics Consultant in Insights and Analysis to support Global Employee Fraud Monitoring and Fraud Policy objectives in compliance with required enterprise standards.

Responsibilities

• Provide analytical insights and analysis for issue remediation efforts, including regulatory deliverables, enterprise metrics, proactive monitoring, internal fraud insights generation and provide timely decision-ready insights.
• Advising business leaders through complex data analysis, influencing analytic methodologies, ensuring compliance with legal and policy standards, and leading projects while mentoring peers.
• Develop and deliver enterprise-wide analytics, insights, and reporting related to employee fraud risk, conduct risk, and policy adherence.
• Design and automate executive dashboards, scorecards, key risk indicators (KRIs), and key performance indicators (KPIs) that support proactive monitoring and risk management activities.
• Create data-driven solutions that identify patterns, anomalies, emerging risks, and fraud trends across employees, business units, channels, products, and processes.
• Perform complex exploratory analysis and root cause investigations utilizing structured and unstructured data sources.
• Support enterprise fraud monitoring programs through the development, enhancement, and maintenance of proactive monitoring routines and analytical methodologies.
• Partner with Fraud Risk, Compliance, Employee Relations, Investigations, Human Resources, Legal, Operational Risk, Technology, and Business partners to support internal fraud risk management objectives.
• Create and maintain governance documentation, controls, procedures, and monitoring standards that support adherence to Internal Fraud Program policies and requirements.
• Analyze large and complex datasets from multiple systems to generate actionable intelligence and business insights.
• Support advanced analytics initiatives, including predictive analytics, anomaly detection, machine learning, artificial intelligence, network analysis, and graph-based analytics.
• Consult with business partners and senior leaders regarding emerging risks, analytical findings, performance trends, and strategic opportunities.
• Lead analytical projects and mentor junior analysts, providing technical guidance and sharing best practices across the team.

Requirements

• 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Advanced analytics expertise using SQL, Python, and large, complex datasets to identify trends, anomalies, and emerging risks
• Proficiency in developing reporting, dashboards, workflows, and automation solutions using Power BI, Alteryx, and related analytical tools
• Experience applying data mining, statistical analysis, AI/ML concepts, and data governance principles to support risk monitoring and decision-making
• Experience supporting internal fraud, conduct risk, investigations, operational risk, compliance, audit, or enterprise risk management functions
• Strong knowledge of employee fraud risk frameworks, investigation lifecycle management, risk assessment, mitigation, and analytical controls
• Proven ability to design executive dashboards, management reporting, and presentations that translate complex findings into actionable business insights
• Proven ability to design executive dashboards, management reporting, and presentations that translate complex findings into actionable business insights
• Strong collaboration, consulting, mentoring, and communication skills, with the ability to influence senior leaders and communicate technical concepts in business terms