Enterprise Internal Fraud Detection Analytics Senior Manager, Executive Director

Wells Fargo - Wilmington, DE

Full-time - Senior

Wilmington, DE

Credit Intermediation and Related Activities

About the position

Wells Fargo is seeking an Analytics Senior Manager for the Enterprise Internal Fraud Detection Analytics Team. This role is part of the Chief Operating Office under Fraud and Claims Operations, focusing on providing analytic support and internal fraud detection capabilities. The position involves developing strategies to identify potentially inappropriate employee behaviors, performing results analysis, and engaging with various stakeholders to ensure compliance with multiple policies.

Responsibilities

• Manage and develop teams of individual contributors and/or managers to enhance business management and execute on key initiatives and processes
• Maintain functional ownership of various aspects including technical advisory, delivery infrastructure, communication, and engagement strategy
• Identify opportunities and strategies to integrate external market factors that impact or drive business outcomes
• Build analytical capabilities and manage forecasting, reporting, and data distribution tools and processes
• Interpret and develop guidelines for compliance and risk management requirements and work with stakeholders to implement key risk initiatives
• Collaborate with and influence all levels of professionals including senior leadership to predict current and future needs
• Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives
• Develop and guide a culture of talent development to meet business objectives and strategy
• Ensure adherence to data management and data governance regulations, and policies and compliance requirements

Requirements

• 6+ years of Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education
• 3+ years of management experience
• 3+ years of Internal Fraud, Fraud Detection, Anti-Money Laundering, or Conduct Management experience

Nice-to-haves

• Proficient with Large Data Tool capabilities including SAS, Python, SQL, Visual Basic, Power BI, and Aster for natural language processing/machine learning
• Knowledge of supervised/unsupervised Machine Learning and natural language processing
• Experience with Business Intelligence tools like Tableau and Business Objects
• Automation experience for automated ETL evaluation and anomaly detection
• Knowledge of ETL practices and standards
• Experience working with large scale data environments
• Experience with data validation and quality monitoring
• Ability to identify anomalies insights and patterns across large data sources
• Experience with data insights of employee relations and human resources