About this role:

Wells Fargo is seeking a

Senior Manager for the Consumer Credit Loss Forecasting team, which is responsible for overseeing loss forecasting and Allowance for Credit Loss requirements accomplishing overall strategic priorities and ensuring that Consumer Credit provides senior management with an independent perspective of the level of credit to which the business is exposed across all business lines. These forecasts have high visibility, which may include interaction with business line forecasting teams, CEOs, CFOs and CROs, and corporate leaders.

In this role, you will:

• Manage and develop teams of excellent professionals, and managers in roles with moderate complexity and risk
• Engage and influence peers, management, and experienced leaders companywide
• Identify and recommend opportunities for transformation of data into actionable information that drives business outcomes, strategies, and risk control development
• Manage modeling, forecasting, reporting, and data distribution tools and processes requiring significant technical complexity within analytics
• Act as a technical expert for experienced management on highly complex issues
• Make decisions and resolve issues regarding data aggregation, strategies, resources, and operations of risk analytics to meet business objectives
• Interpret and develop risk policies and procedures for functions with low to moderate complexity within Analytics and Reporting
• Recommend strategies and actions to be considered by management relative to high risk
• Collaborate with and influence peers, all levels of professionals, including experienced managers
• Interact directly with external customers
• Manage allocation of people and financial resources for Risk Analytics
• Develop and guide a culture of talent development to meet business objectives and strategy
• Be responsible for performing and overseeing loss forecast analytics across consumer products.
• Partner closely with Finance, business line CRO, Modeling and Risk Capital teams.
• Support routine business line forecasts, stress testing, CCAR (Comprehensive Capital Analysis and Review), CECL(Current Expected Credit Losses), MYFA, ACL, and ad hoc forecasts, as necessary.
• Provide coordination across various functions to optimize the forecast process and make it efficient.
• Aggregate the forecasts across the various products into a Consumer Lending, as well as consumer-level forecast and ensure its accuracy.
• Improve the quality of loss forecast reporting and "tell the story".
• Develop a deep understanding of business and loss drivers and maintain active lists of risks and opportunities.
• Oversee and conduct sensitivity analyses that provide bounds around the current forecast view.
• Experience leading, training, and providing feedback to staff and corresponding managers

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

• Experience with loss forecasting processes or strategy development for consumer loan products.
• Knowledge of related loss forecasting processes and requirements, including CECL, CCAR/MYFA, and use of loss forecasting models.
• Demonstrated success driving initiatives to include continuous improvement and efficiency, including the ability to manage and prioritize potentially competing objectives to achieve optimal customer, shareholder, and/or employee outcomes.
• Proven communication skills with the ability to influence, develop, partner with, and maintain collaborative relations at all levels within the organization and externally with customers, regulators, partners, and communities.
• Demonstrated ability to operate independently and effectively build relationships within a matrixed environment to influence outcomes both within the business and Independent Risk Management.
• Results driven approach to work with a demonstrated ability to meet stringent deadlines and work under pressure.
• Strong analytical skills with high attention to detail and accuracy.
• Ability to manage and prioritize multiple initiatives simultaneously.
• Strong organizational, multi-tasking, and prioritizing skills.
• Strong educational credentials with an M.B.A. or Master's degree, preferred.
• Advanced Microsoft Office skills.
• Familiarity with Python and SAS.