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. Learn more about the career areas and business divisions at wellsfargojobs.com.
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
This position is not eligible for Visa sponsorship
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
Required locations listed above. Relocation assistance is not available for this position.
Posting End Date:
4 Jul 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.
