Risk Analytics Consultant (P2)/ Assistant Vice President
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Key skills for this role
Role Overview
Wells Fargo is seeking a Risk Analytics Consultant (Assistant Vice President) as an individual contributor supporting development and risk business teams.
The role supports Decision Science Strategy Validation for unsecured consumer lending products, including cards, co-brand, retail services, personal loans, and flex loans.
The team uses decision engines for acquisition, portfolio management, authorization, and collections risk management, including new product launches and business-as-usual releases.
Key Skills for This Role
Full Job Posting
About This Role
Wells Fargo is seeking a Risk Analytics Consultant (Assistant Vice President) as an individual contributor supporting development and risk business teams.
The role supports Decision Science Strategy Validation for unsecured consumer lending products, including cards, co-brand, retail services, personal loans, and flex loans.
The team uses decision engines for acquisition, portfolio management, authorization, and collections risk management, including new product launches and business-as-usual releases.
Core Responsibilities
- Validate business rules and strategies through functional, user acceptance, and regression testing.
- Analyze and model data, reconcile production data, improve model documentation, and identify process improvements.
- Review programming models, extract data, manipulate databases, and support statistical and financial modeling.
- Coordinate performance reports and present recommendations for data reconciliation, production, and database issues.
- Collaborate with US and India teams, compliance, managers, and lines of business.
Required Qualifications
- At least 2 years of risk analytics experience or equivalent demonstrated through work experience, training, military experience, or education.
- Bachelor's degree in engineering, technology, mathematics, econometrics, computer science, or a related field.
- Experience in credit risk analytics for unsecured lending products.
Technical Skills
- Strong hands-on experience with SAS and SQL for data analysis, validation, and testing.
- Experience with Teradata, Oracle, SQL Server, or DB2 databases is relevant to the role.
- Understanding of testing methodologies, system architecture, and data integration frameworks.
- Exposure to VBScript, Selenium, UFT, or UNIX shell scripting is desired.
Domain Knowledge
- Knowledge of credit risk strategies, segmentation, scorecards, and decisioning frameworks.
- Familiarity with unsecured lending policies and regulatory considerations.
- Experience with Zoot Webrule Builder, FICO DMP, Experian PowerCurve, or similar decision systems is desired.
Additional Desired Skills
- Python experience for data analysis and automation is desirable.
- Exposure to GenAI and agentic AI use cases in analytics or decisioning workflows is desirable.
- Participation in Agile processes, stakeholder communication, and technical guidance is desirable.
Posting Information
- Posting end date is 17 September 2026. The posting may close early due to applicant volume.
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