Decision Science Senior Lead Risk Analytics Consultant, Credit Card
Wells FargoAbout the role
About this role
Wells Fargo is seeking a Senior Lead Risk Analytics Consultant to support the Decision Science team within the Credit Card organization, focused on developing and optimizing strategies for Existing Customer Management. This role plays a critical part in deepening customer engagement, managing credit exposure, and improving overall portfolio performance through data‑driven strategy design.
You will drive advanced analytics across strategies such as Balance Transfers, Proactive and Reactive Line Increases, Card Authorization, Usage and Engagement Campaigns, Repricing, and Product Upgrades/Downgrades. This role requires both strategic and technical leadership, along with a strong quantitative foundation in mathematics, statistics, economics, and financial valuation. Learn more about the career areas and business divisions at wellsfargojobs.com.
In this role, you will
You will leverage deep expertise in card customer strategies and advanced methodologies to develop valuation frameworks that inform strategic decisions. The role requires strong capabilities in qualitative and quantitative analysis, with a solid foundation in mathematics, statistics, economics, and financial valuation.
Act as an advisor to experienced leadership to develop, influence, and interpret analysis for monitoring and oversight of portfolio and deliver insight and decision strategies, with long term goals for highly complex business analysis and modeling companywide
Lead the strategy and resolution of highly complex and unique challenges requiring strategic, advanced analytical, inductive thinking, and performance monitoring
Extract data to provide statistical and financial modeling companywide, delivering solutions that are long term, large scale, and require vision, innovation, and coordination of highly complex activities and guidance to others
Provide vision, direction, and expertise to experienced leadership on implementing innovative and significant business solutions that are large-scale, companywide strategies
Engage with all levels of professionals and managers companywide
Act as an expert advisor to experienced leadership
Required Qualifications
7+ 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 proficiency in Python and SAS for data analysis, modeling, and strategy development
Strong SQL skills with experience extracting and manipulating large, complex datasets
History of developing and supporting credit card strategies such as credit origination, line increases/decreases, balance transfers, and product upgrades
Ability to develop and analyze income statements and interpret financial valuation outcomes
Strong math and quantitative skills with experience developing and supporting statistical models
Strong communication skills with the ability to synthesize complex data for business partners and senior leaders
Experience supporting or developing predictive models such as scorecards, segmentation models, or behavioral models
Familiarity with financial valuation and cash‑flow analysis, including NPV/CLV frameworks
Experience collaborating with cross‑functional partners (Product, Marketing, Risk, Decision Science, etc.)
Graduate degree or MBA in statistics, economics, mathematics, or a related quantitative field
Job Expectations:
Ability to travel up to 15% of the time
This position offers a hybrid work schedule
Visa sponsorship is not available
Job posting may come down early due to volume of applicants.
Posting Locations:
2200 Concord Pike, Wilmington, DE 19803
401 Las Colinas Blvd, Irving, TX 75039
550 S Tryon Charlotte, NC 28202
Required locations listed above. Relocation assistance is not available for this position
Posting End Date:
26 Mar 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.
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