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Wells Fargo is seeking a Senior Risk Analytics Consultant.
Job Responsibility:
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 analyze 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
Requirements:
4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Prior Experience in Loss forecasting 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Direct, hands‑on experience in Loss Forecasting (e.g., expected loss, NCOs, reserves, stress/scenario‑based forecasting) within a financial services environment
Strong experience with forecast production, variance analysis, and data reconciliation
Demonstrated ability to work with large, complex datasets and analytical tools (e.g., SQL, SAS, Python, or similar)
Ability to lead initiatives or workstreams and support junior team members
Nice to have:
Auto Lending product experience (originations or servicing loss forecasting)
Prior exposure to consumer lending portfolios
Experience supporting regulatory exams, audits, or model reviews
Advanced degree in Statistics, Economics, Finance, Mathematics, Engineering, or related quantitative field