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Wells Fargo is seeking a Commercial Banking Portfolio Associate
Job Responsibility:
Research complex financial and credit information for commercial business, or high net worth customer loan packages, according to business unit standards within Commercial Banking Portfolio Management functional area
Review basic issues, policies, or procedures for which answers can be quickly obtained, related to low to medium risk tasks and deliverables
Underwrite loans with aggregate credit exposure based upon approved credit authority limits
Investigate credit standards and determine credit worthiness of high net worth loans
Receive direction from supervisor and exercise independent judgement while developing understanding of function, policies, procedures, and compliance requirements
Collaborate and consult with managers, functional colleagues, and stakeholders including internal as well as external customers
Requirements:
6+ months of Commercial Banking Portfolio Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Nice to have:
MBA (Finance /Banking), Cost and Management Accountancy, Chartered Accountancy or post-graduation in Economics
Good knowledge on financial statements for various industries (preferably Real Estate) with ability to ascertain trends, ratios and call out key risks when compared to benchmarks (historical and industry performance)
Working knowledge of Discounted Cash Flow, Comparable Company, and Precedent Transaction analysis
Working experience with Moody's Risk Analytics would be a plus
Should be aware of key factors which helps in assessing credit worthiness of borrower
Excellent communication skills, with special focus on business writing skills for credit reports
Ability to read, comprehend and synthesize data regarding borrower performance / market related information from multiple sources into one prescribed template
Foundational AI literacy including understanding and application of AI tools, critical thinking, responsible AI use, adaptability and continuous learning