Risk Analytics Consultant (P2)/ Assistant Vice President

Risk Analytics Consultant (P2)/ Assistant Vice President

Desired Qualifications

• Work with decision systems (Zoot Webrule Builder, FICO DMP, Experian PowerCurve) to implement, validate, and monitor strategies across the unsecured lending lifecycle (Acquisition, Portfolio, Collections).
• Perform end-to-end testing (Unit, SIT, UAT, Regression) and validation using SAS/SQL frameworks to ensure strategy accuracy and system integrity.
• Manage UAT and Production deployments, including post-production monitoring, validation, and issue resolution.
• Analyze data flows, source systems (SOR), and Risk DataMarts, ensuring accuracy and alignment with business requirements.
• Develop automation solutions (VB Script, Selenium/UFT, UNIX shell scripting) to improve efficiency and reduce manual effort.
• Participate in Agile processes, contributing to sprint planning, execution, and continuous improvement.
• Provide technical guidance, stakeholder communication, and thought leadership to drive innovation and team effectiveness.

Education & Experience

• Bachelor's degree in engineering, Technology, Mathematics, Econometrics, Computer Science, or related fields.
• 2+ years of experience in credit risk analytics (unsecured lending).

Technical Skills

• Strong hands-on experience with SAS and SQL for data analysis, validation, and testing.
• Experience with data warehouses/databases (Teradata, Oracle, SQL Server, DB2).
• Understanding testing methodologies, system architecture, and data integration frameworks.
• Exposure automation tools/scripts (VB Script, Selenium, UFT, UNIX Shell scripting).

Domain Knowledge

• Understanding credit cards and personal loan lifecycle.
• Knowledge of credit risk strategies, segmentation, scorecards, and decisioning frameworks.
• Familiarity with unsecured lending policies and regulatory considerations.

Good to Have Skills

• Ability to write and work with Python for data analysis and automation.
• Hands-on exposure to GenAI and Agentic AI use cases, including applying AI-driven solutions in analytics or decisioning workflow

Posting End Date: 

23 Aug 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.

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Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

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b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.