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Senior Decision Science (Risk Analytics) Consultant

Why Wells Fargo:

Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top five on the 2026 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. Join us!

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

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.

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.


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