Credit Risk Senior Manager - Auto Loss Forecasting

Wells Fargo•Minneapolis, MN

3d•$185,000 - $300,000•Onsite

About The Position

Wells Fargo is seeking a Credit Risk Senior Manager to lead the Auto Loss Forecasting function responsible for the development, execution, governance, and communication of loss forecasts supporting allowance, planning, stress testing, and risk management activities. This role provides strategic leadership over forecast production and portfolio analytics while partnering closely with Finance, Credit Risk, Model Risk Management, Technology, and business leaders. The Manager is accountable for delivering timely, accurate, and well-governed forecasts, providing insight into emerging portfolio trends, and ensuring the organization meets regulatory, audit, and executive reporting expectations. Learn more about our career areas and business divisions at wellsfargojobs.com.

Requirements

7+ years of Credit Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience

Nice To Haves

Significant experience in consumer credit risk, forecasting, portfolio analytics, finance, or related quantitative disciplines.
Experience leading teams responsible for forecast production, credit analytics, risk management, or related functions.
Demonstrated ability to communicate complex analytical concepts to executive audiences.
Experience working within a highly governed environment involving regulatory, audit, or model risk management oversight.
Proven ability to influence decisions and drive outcomes across multiple stakeholder groups.
Strong quantitative, analytical, and problem-solving skills.
Experience managing multiple priorities and delivering results under demanding timelines.
Experience with Auto lending portfolios and consumer credit products.
Experience supporting CECL/ACL, stress testing, or enterprise planning processes.
Knowledge of loss forecasting methodologies and portfolio performance drivers.
Experience partnering with Model Risk Management, Validation, Internal Audit, and regulatory stakeholders.
Advanced degree in a quantitative field such as Statistics, Economics, Mathematics, Finance, Data Science, Engineering, or a related discipline.

Responsibilities

Lead a team responsible for Auto loss forecasting, portfolio analysis, and forecast execution.
Oversee end-to-end forecast production across monthly, quarterly, annual planning, and stress testing exercises.
Ensure forecasts are delivered accurately, transparently, and within established timelines and governance requirements.
Communicate forecast results, key drivers, risks, and uncertainties to senior leadership and executive stakeholders.
Serve as a primary contact for Auto Loss Forecasting across Risk, Finance, Technology, and business organizations.
Partner with Finance to support reserve, planning, budgeting, and earnings-related processes.
Challenge forecast assumptions, judgments, and methodologies to ensure analytical rigor and appropriate risk management.
Identify emerging portfolio risks and translate complex analytics into actionable business insights.
Lead responses to model governance reviews, validation activities, regulatory examinations, and internal audits.
Drive alignment across cross-functional stakeholders involved in forecasting, including Risk, Finance, Technology, Data, and business partners.
Oversee forecasting infrastructure priorities and technology enhancements that improve scalability, transparency, and efficiency.
Develop and coach forecasting talent while building organizational capabilities and succession plans.
Create a culture of accountability, collaboration, and continuous improvement.
Influence decisions across organizations without relying solely on direct authority.
Build strong partnerships with stakeholders at all levels of the organization.
Balance delivery of near-term business commitments with ongoing enhancement of forecasting capabilities.
Foster an environment that encourages critical thinking, independent challenge, and sound risk management.