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About this role:
This Lead Credit Risk Officer will report to the Senior Manager leading the Consumer Credit card products, with functional alignment within Transformation Risk. This individual will be responsible for Transformation Risk and associated analytics across all Card products, in support of continued process evolution across the organization to better serve partners, be more efficient in delivery, and to strengthen risk oversight provided by this group.
In this role, you will:
Serve as subject matter expert for the design and implementation of Loss Forecasting architecture, including process optimization
Identify and recommend opportunities for transformation of data into actionable information that drives business outcomes, strategies, and risk control development
Enhance existing processes; develop business requirements for process changes; prepare Change Management documentation and present recommendations to key stakeholders
Partner with cross enterprise risk analysts in development of loss forecasting architecture
Be responsible for process production, data reconciliation, and process documentation in alignment with policy governance
Lead complex initiatives related to portfolio loss forecasting, stress testing, allowance, and risk appetite for credit cards
Inform Credit Strategy teams on loss trends to influence credit policy and Risk Appetite
Resolve data, production, business modeling, and lead team to meet deliverables while leveraging solid understanding of risk reporting policies, model risk management procedures, regulatory requests, and compliance requirements
Mentor less experienced associates on proper procedures and by sharing data/business knowledge across the team
Required Qualifications:
5+ years of Credit Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Strong working knowledge in Loss Forecasting, Risk Appetite, CECL, CCAR, P&L evaluation, Consumer Risk strategies
Strong programming skillset using analytical tools including SAS, Python, R, Tableau, PowerBI
Strong understanding of RCSA, Data Management Policy and/or Model Risk Policy
Excellent project management skills in managing multiple projects with challenging timelines
Excellent written and verbal communication skills; ability to clearly narrate results and recommendations to management
Proven ability to adapt to change in requests and/or requirements, raised with short deadlines
Excellent collaboration skills
Post-graduate degree with an emphasis in a quantitative discipline such as economics, finance, mathematics, or statistics
Posting Locations:
2200 Concord Pike – Wilmington, Delaware
1445 Ross Ave - Dallas, Texas
401 S. Tryon Street - Charlotte, North Carolina
1150 W. Washington - Tempe, Arizona
Job Expectations:
Ability to work at one of the approved locations in the job posting.
This position currently offers a hybrid work schedule.
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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