Head of Internal Fraud Detection Analytics

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About this role:

Wells Fargo is seeking an Executive Director for the Head of Enterprise Internal Fraud Detection Analytics (Analytics Director) role which aligns to Enterprise Internal Fraud organization. This position will effectively identify and mitigate internal and falsification fraud risk across the enterprise by leveraging data-driven, proactive monitoring. This position leads a team of manager(s) and senior analysts of vice president and executive director levels accountable for the design and support of managing multiple large data structures, which are leveraged by analysts dedicated to developing effective enterprise-wide monitoring strategies. This position is accountable to own and drive the data and technology strategy for the end-to-end bank-wide proactive monitoring function. Additional responsibilities include the engagement and monitoring for all internal fraud and falsification proactive monitoring functions firmwide across multiple lines of business for strategy development reviews, policy adherence, monitoring effectiveness, leading collaboration forums and participating in industry meetings with peer groups.

The position/team develops strategies that identify employee behaviors that may be potentially inappropriate and require further research and investigation to validate or discount misconduct. This position performs results analysis, discovery, and research on rule performance breaches to verify risk, root cause drivers and facilitate accountability forums to engage SMEs and determine next steps for activities that require attention. This position is directly accountable as an owner of controls, shared controls, processes, and is an active stakeholder within RCSA. This position is accountable to adhere to multiple policies including, but not limited to, Model Risk, Fraud Risk and Allegations Management. This position will have direct interaction/engagement with independent risk management, legal, employee relations, audit, regulators, and peer groups.

• Manage and develop two or more specialized teams of managers and professional individual contributors in planning, coordinating, and executing data research projects and results-oriented intelligence that support business objectives
• Maintain functional ownership of various aspects including technical advisory, delivery infrastructure, communication, and engagement strategy and other key strategic aspects of the function
• Responsible for horizontal internal fraud detection monitoring for Line of Business aligned internal fraud and falsification fraud risk proactive monitoring rules and teams to ensure collaboration, strategy review & evaluation and policy adherence.
• 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
• Manage and direct multiple levels of managers to ensure effective consultation and recommendations based on data analysis
• Interpret and develop a range of guidelines for compliance and risk management requirements for supported area and work with other stakeholders to implement key risk initiatives
• Interface with external agencies, regulatory bodies or industry forums
• Collaborate with and influence all levels of professionals including senior leadership to predict current and future needs and achieve consistent application of definitions, measurements, and interpretation
• 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

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

• Proficient with Large Data Tool capabilities including, but not limited to, SAS, Python, SQL, visual basic, Power bi, python & aster for natural language processing/machine learning, and other reporting and analysis tools
• Knowledge of and experience with supervised/unsupervised Machine Learning, natural language processing
• Knowledge of and experience with Business Intelligence tools to design/promote reporting and insights: Tableau, Business Objects for visual depiction of internal fraud data
• Automation experience for automated ETL (extract/transfer/load) evaluation and anomaly detection
• Knowledge of ETL (extract/transfer/load) practices and standards
• Experience working with large scale data environments with disparate data and database structures
• Experience with data validation and quality monitoring pre/post data processing standards
• Experience with aggregation, analysis and generating insights from structured and unstructured data sets
• Ability to identify anomalies insights and patterns across large data sources
• Ability to synthesize/translate data for executive consumption
• Experience with data insights of employee relations, human resources, allegations, and business application data to develop integrated insights and leverage for predictive modeling
• Comprehensive knowledge of financial services organizational structures, functional roles and corresponding capabilities to assess inherent risks
• Comprehensive background in understanding employee misconduct risks
• Comprehensive knowledge of allegation lifecycle including sensitive matters, intake, internal investigations, root cause and customer impact

• This position may be located at one of the posted sites listed below. Other locations will not be considered
• This position may travel quarterly

• 2200 Concord Pike, Wilmington, DE
• 2850 S Price Rd, Chandler AZ
• 1525 WT Harris Blvd, Charlotte NC
• 401 S Tryon St, Charlotte, NC
• 801 Walnut St, Des Moines, IA
• 7711 Plantation Rd, Roanoke, VA