Sr. Manager, Decision Science – Valuation Analytics, Unsecured Lending

Wells Fargo

Closes in 4 days Hybrid

Quick summary

Work type
Hybrid
Location
Wilmington, DEIrving, TX
Posted
3 days ago
Closes
Jun 19, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $193k
$151k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $158,718–$226,375.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 87 open roles on FindRole.

Listed pay typically runs $144,009–$224,000 across 46 roles with salary data.

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At a glance

TL;DR · Sr. Manager, Decision Science – Valuation Analytics, Unsecured Lending

Wells Fargo is hiring a Senior Decision Science Manager to lead the development and governance of financial valuation models for various card and lending portfolios, including Branded Cards, Co-Brand Cards, Small Business Card, and Personal Lending. This role involves overseeing the entire model lifecycle from design through governance approval using Python-based environments, ensuring accuracy and compliance with evolving business needs. The manager will also drive innovation by integrating advanced analytics and AI/ML capabilities to enhance model performance and scalability while maintaining robust documentation and controls in line with enterprise standards. Candidates should have extensive experience in risk analytics, valuation modeling, and a strong background in quantitative disciplines, along with proficiency in Python, SQL, and cloud computing environments.

What you'll do

  • Own end-to-end lifecycle of financial valuation models from design to governance approval.
  • Lead migration and development of scalable valuation frameworks in Python-based environments.
  • Ensure adherence to enterprise model governance standards throughout the entire model lifecycle.
  • Deliver valuation tools and analytical capabilities to partner teams across various portfolios.
  • Identify and deploy emerging AI/ML capabilities to improve model performance and scalability.
  • Present model outputs, sensitivities, and trade-offs in executive forums and governance committees.

What we're looking for

  • Advanced proficiency in Python for model development and optimization
  • Experience with large-scale data processing and statistical/ML modeling techniques
  • Strong understanding of cash flow-based valuation models and NPV frameworks
  • Hands-on experience with Model Risk Management frameworks and governance standards
  • Deep expertise in credit cards, unsecured lending, or personal lending portfolios
  • Proven leadership in managing teams and influencing cross-functional stakeholders
  • Ability to translate complex analytics into strategic recommendations and financial impact

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