Credit Risk Director - Consumer Loss Forecasting

Wells Fargo is seeking a leader to head the Consumer Loss Forecasting function within Corporate Risk. This team develops, executes, governs, and delivers loss forecasts for key enterprise processes including CCAR, CECL/ACL, Loss Forecasting, stress testing, and other risk management activities. The role provides critical analytics that inform strategic decision-making, reserve levels, and scenario analytics.

Responsibilities

• Lead a team of managers, analysts, and forecasting professionals responsible for consumer loss forecasting across multiple portfolios.
• Provide strategic direction and oversight for forecasting processes supporting CCAR, ACL/CECL, Loss Forecasting, stress testing, and other enterprise forecasting requirements.
• Ensure accurate, timely, and controlled delivery of forecasting results used for regulatory, financial, and business decision-making.
• Oversee forecast governance, execution controls, issue management, and risk identification to ensure compliance with internal control and risk management requirements.
• Partner with senior leaders across Risk, Finance, Technology, Model Risk Management, and line-of-business organizations to support forecasting needs and drive strategic priorities.
• Lead the implementation of forecasting modernization initiatives, including process automation, cloud-based forecasting capabilities, workflow optimization, and AI-enabled solutions.
• Drive continuous improvement efforts to enhance forecast efficiency, scalability, transparency, and governance while reducing operational risk.
• Provide executive-level communications and recommendations related to forecast results, emerging risks, portfolio performance, and forecasting assumptions.
• Manage delivery against aggressive regulatory and business timelines while maintaining high standards of analytical rigor and operational excellence.
• Develop organizational talent, succession plans, and leadership capabilities to ensure long-term sustainability of the forecasting function.

Requirements

• 10+ years of Credit Risk experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.
• 4+ years of management or leadership experience.

Qualifications

• Extensive experience in credit risk, forecasting, quantitative analytics, finance, risk management, or a related discipline.
• Experience leading managers and large, complex analytical organizations.
• Deep understanding of forecasting methodologies, risk management practices, and regulatory requirements.
• Proven ability to lead large-scale transformation initiatives, process redesign efforts, and technology modernization programs.
• Strong executive communication and stakeholder management skills.
• Demonstrated success delivering complex initiatives under demanding timelines and governance requirements.

Job Expectations

• Must be located in one of the following: Charlotte, NC; Irving, TX; Minneapolis, MN; or West Des Moines, IA.
• Relocation assistance is not available for this position.
• Travel up to 10% of the time.
• This position is not eligible for VISA sponsorship.
• Specific compliance policies may apply regarding outside activities and/or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements.

Pay

$215,000.00 - $355,000.00 base pay range. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date: 16 Aug 2026. The job posting may come down early due to volume of applicants.