Wells Fargo is a multinational financial services company operating across banking and related financial products. Its hiring landscape includes opportunities for early-career professionals, experienced specialists, and leaders, with an emphasis on collaboration, innovation, and an inclusive workplace culture. The company also highlights development programs designed to support career progression across its broad workforce.
Senior Lead Analytics Consultant, Global Employee Fraud Monitoring
Lead enterprise fraud-monitoring analytics for Wells Fargo using SAS and SQL. Develop data-driven solutions to identify employee fraud risks and strengthen internal controls.
Description
- Direct enterprise fraud analytics, monitoring, and response initiatives with significant business impact
- Evaluate internal fraud events and detect emerging risk patterns
- Develop, improve, and govern internal fraud-monitoring strategies using enterprise data, fraud rules, and analytical methods
- Extract, analyze, and interpret large, complex enterprise datasets with SAS and SQL
- Support internal fraud detection, monitoring, and reporting activities
- Lead high-priority, enterprise-wide initiatives with substantial risk implications
- Convert business, risk, and control requirements into analytical solutions that help reduce internal fraud risk
- Counsel senior leaders and build alignment across stakeholders
- Deliver analytics and monitoring solutions that satisfy executive, regulatory, and audit scrutiny
- Shape fraud-risk practices, monitoring approaches, and control improvements through subject-matter leadership
- Influence partners with analytical insights, recommendations, and consultative guidance
- Work through ambiguity while preserving analytical rigor, governance, and documentation
Requirements
- At least 7 years of experience in analytics, reporting, financial modeling, or statistics, or equivalent experience gained through work, training, military service, or education
- At least 5 years of hands-on SAS and SQL experience
- Experience developing data-driven fraud-monitoring rules or detecting anomalous activity across large enterprise datasets
- Willingness to work from one of the listed locations
- Visa sponsorship is unavailable for this position
- Preferred: extensive knowledge of internal fraud risk management, employee fraud patterns, and proactive monitoring practices
- Preferred: experience with advanced analytics, including statistical modeling, machine learning, and decision-tree methods
- Preferred: quantitative or analytical education in fields such as statistics, economics, or mathematics
- Preferred: experience collaborating with senior executives and cross-functional stakeholders
- Preferred: strong communication skills with executive audiences
- Preferred: experience working in highly scrutinized environments
- Preferred: experience delivering analytics and monitoring solutions that withstand executive, audit, and regulatory review
- Preferred: ability to work independently in fast-paced, ambiguous settings
- Preferred: experience using data, analytics, and fraud rules to develop, improve, or govern proactive monitoring and detection strategies
- Preferred: experience with Python and other analytics tools or platforms
Benefits
- Hybrid work arrangement
- Equal opportunity employer
- Medical accommodations are available during the application or interview process
- Drug-free workplace