Wells Fargo

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

Wells Fargo$120K — $150K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of Risk Analytics experience, or equivalent work experience, training, or education.
  • 3+ years of management or leadership experience.
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, or economics (desired).
  • Deep expertise in valuation modeling within a data-driven or financial services environment (desired).
  • Proven track record of owning and delivering financial valuations or forecasting models (desired).

Responsibilities

  • Own the end-to-end lifecycle of financial valuation models from design to monitoring.
  • Lead the development of scalable valuation frameworks using Python.
  • Incorporate key financial drivers such as unit costs and macroeconomic assumptions into models.
  • Serve as the primary contact for Model Risk Management partners for model approvals and validations.
  • Deliver analytical capabilities to various partner teams across Branded Cards and Personal Lending.
  • Identify and implement emerging AI/ML capabilities for model improvement and automation.
  • Translate analytics into strategic recommendations for stakeholders.

Benefits

  • Hybrid work schedule.
  • Opportunity for leadership development.
  • Access to a data-driven environment with innovative tools and methodologies.
Full Job Description
About this role:

Wells Fargo is seeking a Sr. Decision Science Manager to lead the development, governance, and continuous enhancement of financial valuation models and supporting tools for Branded Cards, Co-Brand Cards, Small Business Card, and Personal Lending portfolios.

This role sits at the intersection of advanced analytics, financial valuation, and risk governance, driving enterprise decision-making through state-of-the-art modeling frameworks built in Python. The leader will oversee model lifecycle management-from design through governance approval-and ensure models remain accurate, compliant, and aligned with evolving business and economic inputs.

In this role, you will:

Model Development & Ownership
  • 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.
  • Incorporate key financial drivers including:
    • Unit cost structures
    • Corporate treasury rates / cost of funds
    • Behavioral, credit, and macroeconomic assumptions
  • Oversee models that support card & loan origination, line increase, pricing, business development and portfolio management strategies.

Model Risk Management & Governance
  • Serve as primary interface with Model Risk Management (MRM) partners to:
    • Secure model approvals and validations
    • Support annual reviews and ongoing monitoring
    • Maintain high-quality documentation and controls
  • Ensure adherence to enterprise model governance standards across the entire model lifecycle (development, validation, implementation, monitoring).

Decision Science Platform Leadership
  • Deliver valuation tools and analytical capabilities to partner teams across:
    • Branded Cards
    • Co-Brand Cards
    • Credit Cards
    • Personal Lending
  • Standardize and productionize modeling frameworks to enable consistent, scalable decisioning across portfolios.
  • Act as a technical thought leader, driving adoption of modern data, tooling, and modeling practices.

Innovation & Advanced Analytics
  • Identify and deploy emerging AI/ML capabilities to improve model performance, automation, and scalability.
  • Promote use of vectorized computation, scalable architectures, and model optimization techniques.
  • Continuously benchmark and enhance modeling approaches to maintain best-in-class valuation capabilities.


Stakeholder Engagement & Influence
  • Partner with Finance, Treasury, Risk, Product, and Strategy teams to:
    • Align valuation frameworks with financial planning assumptions
    • Translate analytics into clear, decision-ready insights
  • Present model outputs, sensitivities, and trade-offs in executive forums and governance committees.


Technical Expertise
  • Advanced proficiency in Python
  • Experience with:
    • Large-scale data processing and model optimization
    • Statistical / ML modeling techniques
    • SQL, cloud or distributed compute environments (preferred)
  • Strong understanding of cash flow-based valuation models and NPV frameworks


Model Governance & Risk
  • Hands-on experience working with Model Risk Management frameworks, including:
    • Model approval and validation cycles
    • Documentation and audit readiness
    • Ongoing monitoring and annual reviews


Business & Leadership Skills
  • Strong understanding of consumer lending economics:
    • Capital, Pricing, margins, cost of funds, credit losses, customer behavior
  • Ability to translate complex analytics into:
    • Strategic recommendations
    • Quantified financial impact (e.g., NPV, ROA, margin uplift)
  • Demonstrated leadership in:
    • Managing teams or influencing cross-functional stakeholders
    • Driving adoption of new tools and methodologies


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
  • 3+ years of management or leadership experience


Desired Qualifications:
  • 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
  • Combines deep technical expertise (Python, modeling) with strong financial and business judgment
  • Operates effectively in regulated environments, balancing innovation with governance rigor
  • Acts as a bridge between analytics, technology, and business strategy
  • Drives measurable impact through, improved valuation accuracy, faster model deployment cycles, enhanced decision quality across portfolios


Job Expectations:
  • Ability to travel up to 25% of the time
  • This position offers a hybrid work schedule
  • Visa sponsorship is not available


Posting Locations:
  • 2200 Concord Pike, Wilmington, DE 19803
  • 401 Las Colinas Blvd, Irving, TX 75039


Required locations listed above. Relocation assistance is not available for this position.

Posting End Date:

18 Jun 2026
*Job posting may come down early due to volume of applicants.

About Wells Fargo

Wells Fargo Careers

Joining Wells Fargo means becoming part of a distinguished financial institution that has been a cornerstone of innovation and leadership in the banking industry. At Wells Fargo, we offer a plethora of job opportunities designed to empower your career growth and development in a diverse and inclusive environment.

Work You’ll Do

At Wells Fargo, you will be part of a team that values diversity and is committed to fostering an inclusive culture. We are looking for professionals who are eager to drive innovation and lead with integrity. Our employees are our greatest asset, and we invest in their professional growth through comprehensive leadership and diversity training programs that are recognized industry-wide.

Explore a Multitude of Career Paths

Whether you're interested in a position in finance, IT, customer service, or management, Wells Fargo has career opportunities in various fields. Our team members benefit from job stability, competitive benefits, and a culture that values and rewards performance and dedication.

Internship Programs

Kickstart your career with a Wells Fargo internship. Our programs provide invaluable industry exposure, professional skills development, and networking opportunities that often lead to full-time employment offers. Interns at Wells Fargo work on real projects, solve actual challenges, and gain the mentorship of seasoned professionals.

Professional Growth and Development

We believe in nurturing the potential of our employees. Wells Fargo offers robust training programs and resources to help every team member excel in their current roles and prepare for future challenges. Growth at Wells Fargo is not just about climbing the career ladder but expanding your skills and expertise to add value to our team and customers.

Benefits and Rewards

Wells Fargo is committed to the well-being of our team members. We offer a comprehensive benefits package that includes health care, retirement plans, and generous paid time off. Additionally, we provide unique perks like employee discounts, adoption assistance, and tuition reimbursement.

Join Our Team

Discover the opportunities waiting for you at Wells Fargo by exploring open positions that match your skills and interests. We are continuously hiring and looking for individuals who bring creativity, passion, and a drive to serve our customers.

Stay Connected

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Networking and Innovation

At Wells Fargo, networking and innovation go hand in hand. We encourage our employees to connect across departments and roles to foster new ideas and strategies that lead to groundbreaking solutions.

Empower Your Career

Step into a role at Wells Fargo where your skills will be honed, your achievements recognized, and your career can flourish. We're not just filling positions; we're building leaders who are equipped to navigate the complexities of the financial world. Join Wells Fargo today and be part of a team that’s redefining the future of banking.
Learn more about Wells Fargo
Size
246,577 employees
Market Cap
$155.2 billion
Industry
Net Income
$3.3 billion
Founded
1852
5 Year Trend
-5.9%
NASDAQ

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