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Senior Manager, Decision Science – Valuation Analytics, Unsecured Lending
Wells FargoSr. Decision Science Manager leading the development of financial valuation models for Branded Cards, Co‑Brand Cards, and Personal Lending.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
financial valuation modelsPythonvaluation modelingrisk analyticsAI/ML capabilitiesmodel validationmodel performanceautomationscalabilitydata-driven analysis
Soft Skills
leadershipmanagementcommunicationcollaborationproblem-solvinganalytical thinkinginterpersonal skillsorganizational skillsstrategic thinkingstakeholder engagement
Certifications & Qualifications
Master's degreequantitative discipline
Industry Keywords
credit cardsunsecured lendingpersonal lendingModel Risk Managementportfolio managementbusiness developmentpricing strategiesfinancial servicesmodel approvalsforecasting models
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Own end-to-end lifecycle of financial valuation models (design, development, validation support, implementation, monitoring)
- Lead migration and development of scalable valuation frameworks in Python-based environments
- Oversee models that support card & loan origination, line increase, pricing, business development and portfolio management strategies
- Serve as primary interface with Model Risk Management (MRM) partners to secure model approvals and validations
- Deliver valuation tools and analytical capabilities to partner teams across Branded Cards, Co‑Brand Cards, Credit Cards, and Personal Lending
- Identify and deploy emerging AI/ML capabilities to improve model performance, automation, and scalability
Requirements
What you’ll need- 7+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of management or leadership experience
- 7+ years of experience in valuation modeling and risk analytics within a data-driven or financial services environment
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Deep experience in credit cards, unsecured lending, or personal lending portfolios
- Proven track record of owning and delivering financial valuations or forecasting models
Benefits
Comp & perks- This position offers a hybrid work schedule