Lead Risk Analytics Consultant ( Gen AI)

Job Summary

Wells Fargo is seeking a Lead Risk Analytics Consultant to become a member of the Decision Strategy and Governance team in the Corporate Risk group’s Consumer Credit Risk organization. This team has responsibility for oversight of the development, implementation, and maintenance of front-line business strategies for both credit organizations and deposit processes which result in risk exposure. The person in this role will support these efforts by performing various complex analytical activities related to strategy development, implementation, and monitoring.

In this role, you will:

• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
• Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
• Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
• Lead projects, teams, and mentor

Required Qualifications

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

Desired Qualifications

• Strong knowledge of Consumer lending and Banking businesses, including products, clients, industry dynamics, organizational structure, and key performance drivers.
• Demonstrated ability to independently manage multiple complex workstreams in a fast paced, highly dynamic environment
• Strong verbal and written communication skills, and hands-on experience with SAS and SQL/Python
• Excellent proficiency in using Power BI / Tableau as visualization tools
• Ability to gather, analyze, package, and present analytical findings in an insightful and logical manner.