Job Description

About this role:

Wells Fargo is seeking a Lead Decision Science Analytics Consultant (Lead risk Consultant) to join the unsecured lending organization within the Decision Science Valuation team. This role is responsible for the more complex Python tools supporting valuation modeling, forecasting tool development across Credit Card, Personal Loans, and Retail Services portfolios.

Learn more about the career areas and business divisions at wellsfargojobs.com.

In this role, you will:

• Lead the development and validation of models supporting financial valuation for Credit Card, Personal Loan, and Retail Services products.
• Perform in-depth analytical assessments to evaluate and validate key model inputs, assumptions, and parameters.
• Support strategic initiatives aimed at redesigning valuation frameworks and models to enhance investment decision-making capabilities and drive business transformation.
• Ensure adherence to a robust control environment by maintaining compliance with model risk management and documentation standards.
• Serve as a key technical expert within the valuation modeling team, driving the adoption of advanced analytical capabilities using Python and emerging AI/ML tools.
• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
• Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
• Lead projects, teams, and mentor

Required Qualifications:

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

Desired Qualifications:

• Advanced programming experience in Python and/or SAS, with a focus on building scalable analytics and modeling solutions
• Experience developing or validating forecasting, valuation, or credit risk models within financial services or lending environments
• Familiarity with unsecured lending products (Credit Cards, Personal Loans, Retail/Consumer Finance) and their underlying risk dynamics
• Strong foundation in statistics, economics, and financial valuation methodologies, with experience applying both qualitative and quantitative approaches
• Experience working with large, complex datasets and modern data environments (e.g., SQL, cloud platforms, or distributed computing frameworks)
• Exposure to model governance, model risk management (MRM), or regulatory frameworks within a financial institution
• Experience leveraging or integrating machine learning techniques into traditional modeling approaches
• Proven ability to lead cross-functional projects and influence stakeholders across technical and non-technical teams
• Strong communication skills with the ability to translate complex analytics into clear business insights and recommendations

Job Expectations:

• Ability to travel up to 15% of the time
• This position offers a hybrid work schedule
• Visa sponsorship is not available

Posting Locations:

• 2200 Concord Pike, Wilmington, DE 19803
• 401 Las Colinas Blvd, Irving, TX 75039

Required locations listed above. Relocation assistance is not available for this position.

Posting End Date:

1 Jun 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.