Senior Analytics Manager – Global Employee Fraud Monitoring Detection Analytics

Role Overview

• Lead, develop, and oversee a team of analytics professionals, providing direction, coaching, performance management, and workload prioritization
• Provide managerial oversight for the design, enhancement, and governance of proactive internal fraud monitoring strategies, ensuring alignment with enterprise risk objectives
• Establish and enforce consistent analytical standards, documentation, and governance practices across internal fraud analytics
• Review and guide the use of SAS
• and SQL‑based analytics to ensure accurate analysis of large, complex enterprise data sets supporting fraud detection and monitoring
• Partner with executives and senior stakeholders to prioritize and deliver high‑risk, enterprise‑level initiatives with material operational and regulatory impact
• Translate complex business, risk, and control requirements into scalable analytical solutions, ensuring effective risk mitigation outcomes
• Serve as a trusted advisor and escalation point for senior leadership on internal fraud risk trends, monitoring effectiveness, and control gaps
• Ensure monitoring solutions withstand executive review, audit testing, and regulatory scrutiny
• Work independently with Internal Risk Management (IRM), Control, Audit, and other partners to provide oversight, challenge, and thought leadership on internal fraud risk and control enhancements
• Navigate ambiguity and shifting priorities while maintaining strong execution discipline, governance, and accountability

Requirements

• 7+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience
• 3+ years of hands-on experience with SAS and SQL, supporting fraud analytics, monitoring, and reporting across large enterprise data sets
• 3+ years of experience in an analytics leadership or people-management role, including responsibility for prioritization, quality oversight, and team development
• Deep knowledge of employee misconduct risks, including internal fraud typologies and behavioral indicators
• Experience overseeing advanced analytics techniques, including statistical modeling, machine learning, and rule-based detection approaches
• Experience operating within large, complex data environments with disparate data sources, systems, and database structures
• Quantitative educational background (e.g., Statistics, Economics, Mathematics) with extensive applied analytics experience
• Experience integrating and analyzing human resources, allegation, and business application data to develop holistic fraud risk insights and inform predictive monitoring strategies
• Strong familiarity with the allegation lifecycle, including intake, sensitive matters, internal investigations, root cause analysis, and customer impact considerations
• Strong executive communication skills, with the ability to clearly articulate analytical insights, risks, and recommendations to leadership, audit, and regulatory audiences
• Proven track record delivering analytics and monitoring solutions that withstand audit and regulatory review while achieving measurable risk reduction
• Experience managing work in ambiguous, fast-changing environments with competing priorities and regulatory expectations
• Familiarity with Python or additional analytics tools is preferred to support automation and analytical efficiency
• Working knowledge of advanced analytics techniques, including supervised and unsupervised machine learning and natural language processing.

Tech Stack

• Python
• SQL

Benefits

• We Value Equal Opportunity
• Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
• Drug and Alcohol Policy Wells Fargo maintains a drug-free workplace.