Senior Decision Science; Risk Analytics) Consultant

Position: Senior Decision Science (Risk Analytics) Consultant
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Learn more about the career areas and lines of business at  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 (FAS
107) 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  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 FAS
107 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 assetsP&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,…