At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do.  Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.  Wells Fargo Bank N.A. seeks a **Senior Lead Credit Risk Officer** in Wilmington, DE.  **Job Role and Responsibility: ** Lead complex initiatives including those that are cross-functional with broad impact and act as key participant in driving the company credit culture, desire, and business performance for Credit Risk. Review and analyze complex strategies, programs and policies with a direct and significant impact on credit risk appetite and culture. Manage the Retail Services portfolio and responsible for new business acquisition due diligence analysis. Receive direction from leaders. Exercise independent judgment while developing the knowledge to understand function, policies, procedures, and compliance requirements. Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals. Interact with internal and external customers. Collaborate with business for oversight of risk management. Interact with Audit, Legal, external agencies, and regulatory bodies on risk related topics. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address. Qualified applicants, send resume to: recruiter_inbox@wellsfargo.com and reference Requisition # 001670 in the subject line. **Travel required:** None.   **Required Qualifications: ** Bachelor's degree in Computer Science, Quantitative Analytics, Statistics, Mathematics, Economics, or related quantitative field. 5 years of experience in the job offered or in a related position involving application development and implementation experience. Specific skills required:  ·         Experience with Programming languages used for advanced statistical analysis and data programming like SAS, R, C++, Python, SQL, and MATLAB;  ·         Experience with Linux and Unix Operating Systems;  ·         Experience with predictive modeling using statistical or machine learning techniques;  ·         Experience with Stochastic Modeling, Optimization, Simulation, Computational Statistics, or Machine Learning; and ·         Experience with statistical model development and validation. Qualified applicants send resume to: recruiter_inbox@wellsfargo.com and reference Requisition #001670 in the subject line. ### Place of Work Hybrid ### Requisition ID 001670 ### Compensation $185,000 - $300,000 ### Job Type Full Time ### Application Email recruiter_inbox@wellsfargo.com