About this role:
Wells Fargo is seeking a Senior Decision Science (Risk Analytics) Consultant to support the Decision Science Valuation function within the Consumer Lending organization. This role will focus on supporting the horizontal modeling function within Decision Science and includes valuing existing portfolio assets (FAS107) quarterly.
The role leverages deep expertise in credit card strategy and P&L modeling, applying state‑of‑the‑art methodologies and technologies to build robust valuation frameworks that inform strategic decision‑making.
This position combines quantitative rigor with qualitative judgment and requires a strong foundation in mathematics, statistics, economics, and financial valuation.
In this role, you will:
Support the financial valuation horizontal team within the decision science valuation function by maintaining and deploying updated models using state-of-the-art technologies.
Support the quarterly FAS107 existing portfolio financial asset valuation process.
Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting
Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
Resolve data, production, business modeling, and lead team to meet Decision Science deliverables
Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
Lead projects, teams, and mentor less experienced staff
Required Qualifications:
4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Strong programming background using Python, SAS, and SQL
Experience in financial cashflow and valuing assets
P&L modeling experience
Understanding in Credit card strategies
Experience with credit card portfolio analytics, risk segmentation, performance forecasting, or profitability modeling
Strong understanding of statistical modeling techniques, model performance monitoring, and analytics validation practices
Ability to translate complex quantitative analysis into clear business insights for senior stakeholders and cross-functional partners
Experience working with large, complex datasets, including data reconciliation, quality controls, and documentation in a governed environment
Job Expectations:
Willingness to work on-site at stated location on the job opening
This position offers a hybrid work schedule
This role does not allow for Visa sponsorship
Must live within location of the job posting.
Location:
2200 Concord Pike, Wilmington, DE 19803
401 South Tryon St, Charlotte, NC 28202
401 Las Colinas Blvd W Bldg B IRVING, TX 75039
Posting End Date:
20 Aug 2026
*Job posting may come down early due to volume of applicants.
