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WF
Hybrid Head of Global Employee Fraud Monitoring, Fraud Policy Insights and Analysis – Executive Director
Posted last week
About the role
- Analytics Director at Wells Fargo leading efforts in fraud risk management and data analytics. Overseeing team strategies to mitigate employee fraud and compliance risks across the enterprise.
Responsibilities
- Set strategy and lead execution of data research, analytics, and intelligence initiatives that support the business
- Manage and develop teams to advance business objectives and deliver key initiatives
- Collaborate with and influence stakeholders at all levels, including senior leaders, to provide strategic insights
- Ensure compliance with data management, data governance, policy and regulatory requirements.
- Oversee an enterprise-wide portfolio of standardized and ad hoc analytics to assess and improve business performance and employee fraud risk
- Lead the development, accuracy, and automation of insights, dashboards, committee materials, business reviews, and KRI/KPI reporting
- Direct fraud‑risk capability assessments across business lines and recommend control enhancements
- Measure performance of Global Employee Fraud Monitoring & Fraud Policy operational teams
- Guide analysis of boundary breaches, verify risk and root‑cause drivers, and facilitate accountability forums with SMEs
- Deliver aggregated fraud‑risk insights and actionable intelligence to executives, business leaders, lines of defense, and regulators
- Create and maintain governance documentation, routines, and controls for Frontline Monitoring programs
- Foster a strong culture of talent development aligned to business strategy
- Manage people and financial resources to meet commitments and strategic goals
- Interpret and implement compliance and risk‑management requirements, partnering with stakeholders on regulatory and industry initiatives.
Requirements
- 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 or leadership experience
- Proficient with business Intelligence tools to design/promote reporting and insights: Tableau, Power BI, and/or Business Objects for visual depiction of fraud data
- Proficient with Large Data Tool capabilities including but not limited to SAS, Python, SQL, visual basics and other reporting and analysis tools
- Automation Experience
- Experience working in large‑scale data environments with disparate data sources and complex database structures
- Knowledge of ETL (extract/transfer/load) practices and standards
- Experience with data validation and quality monitoring pre and post data processing
- Experience aggregating, analyzing, and generating insights from structured and unstructured data.
- Ability to identify anomalies, insights, and patterns across large and complex data sources.
- Ability to synthesize and translate data into clear, actionable insights for executive audiences.
- Experience analyzing employee relations, HR, allegation, and business application data to create integrated insights and support predictive modeling
- Comprehensive knowledge of financial services organizational structures, functional roles, and capabilities to assess inherent risks
- Comprehensive experience understanding and evaluating employee misconduct risks
- Strong understanding of the allegation lifecycle, including sensitive matters, intake, investigations, root‑cause analysis, and customer impact
- Advanced root‑cause analysis skills.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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