Senior Risk Analytics Consultant, Senior Assistant Vice President

Wells Fargo is seeking a Senior Risk Analytics Consultant (Assistant Vice President) which is a senior individual contributor role 4+ years of experience in credit risk analytics domain, primarily with Personal Loan products. Individuals in this role will support the development Team, Risk Business Team. Responsibility to validate Business rules/ Strategies using various type of testing like Functional testing, User acceptance testing and Regressions testing. Provide analytics to help improve efficiency and effectiveness.
The ideal candidate will be able to partner with the US team and India team to identify opportunities to optimize the existing process with zero defect leakage in assigned tasks. Additionally, should be able to understand business requirements for complex business rules.
In this role, you will:

• Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
• Review and analyse moderately complex data aggregation, forecasting, reporting, and programming models
• Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
• Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
• Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
• Lead projects, teams, and mentor less experienced staff
• Partner with cross enterprise risk analysts in development of common modeling strategies

Required Qualifications:

• 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:
Education & Experience

• Bachelor's degree in engineering, Technology, Mathematics, Econometrics, Computer Science, or related fields.
• 4+ years of experience in credit risk analytics (unsecured lending).
• 2+ years of experience with decision systems (Zoot, FICO DMP, Experian PowerCurve).

Technical Skills

• Advanced SAS and SQL programming skills with the ability to build automated data validation and testing frameworks from scratch.
• Experience creating datasets, test scenarios, and reconciliation frameworks for UAT and Production validation.
• Working knowledge of structured and unstructured databases, including SQL platforms and MongoDB.
• Strong understanding of data flows, ETL processes, and data quality validation.

Domain Knowledge

• Strong understanding of unsecured lending products, including Credit Cards, Personal Loans, and Business Loans.
• Knowledge of credit underwriting policies, decision strategies, scorecards, and eligibility rules.
• Familiarity with credit risk decisioning systems and lending lifecycle processes.

Good to Have Skills

• Python programming for data analysis and automation.
• Exposure to GenAI and Agentic AI use cases.
• Experience with decision management platforms such as FICO, Experian PowerCurve, or Zoot.

Job Expectations

• Perform UAT, regression, and production validation of underwriting and credit decisioning strategies using SAS.
• Develop and maintain automated SAS-based validation frameworks and test datasets to support strategy testing and deployments.
• Validate strategy logic, decision outcomes, scorecard calculations, and data transformations across multiple systems.
• Create and execute test scenarios to ensure alignment between business requirements, underwriting policies, and system implementation.
• Support UAT and production releases, including deployment validation, monitoring, and issue resolution.
• Analyze data from source systems, data marts, and MongoDB repositories to investigate and resolve validation issues.
• Collaborate with business, risk, technology, and vendor teams to ensure successful strategy implementation and migration.

Posting End Date:
17 Sep 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.
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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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