Lead Analytics Consultant - Global Fraud Monitoring Insights and Analysis

Lead Analytics Consultant In Insights And Analysis

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.

The Lead Analytics Consultant will be responsible for providing 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. Further scope of responsibilities, including advising business leaders through complex data analysis, influencing analytic methodologies, ensuring compliance with legal and policy standards, and leading projects while mentoring peers.

The role requires independent execution, advanced judgment, and engagement with mid- to senior-level stakeholders.

In this role, you will:

• 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.
• Build 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.
• Create executive-level presentations and reporting materials for leadership reviews, governance committees, business reviews, regulatory engagement, and risk forums.
• Develop scalable analytics and automation solutions that improve consistency, efficiency, and effectiveness across monitoring and reporting processes.
• 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.

Required Qualifications:

• 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired

Qualifications:

• 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.
• Demonstrated leadership in driving analytical initiatives from strategy through implementation while managing multiple priorities and stakeholders.
• Strong collaboration, consulting,…