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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
Model Selection & Evaluation: Assess business use case requirements and recommend suitable Gen AI models and platforms
Architecture & Integration: Design AI solution architecture that is aligned to enterprise expectations and integrates with existing enterprise systems. Support decisions around APIs, data pipelines, orchestration layers, UI/UX, etc
Data Preparation & Governance: Collaborate with data teams to ensure high-quality, compliant datasets. Implement data governance and processing standards
Model Fine-Tuning & Optimization: Fine-tune base models for domain-specific tasks. Optimize for latency, accuracy, and resource utilization
Performance Monitoring & Feedback Loop: Define KPIs for AI solutions. Continuously monitor and improve models based on feedback
Business Enablement & Advisory: Act as AI consultants for business teams. Provide training and documentation for AI adoption
Lead and influence assessment of business use cases and GenAI model/platform selection through a model risk and enterprise governance lens
Provide final risk recommendations and approvals for AI model usage aligned with enterprise risk frameworks
Deliver 100% quality and SLA compliance on executions
Drive discussions with stakeholders
Ability to work in a dynamic environment and adjust to changing priorities
Ability to work at the approved locations in the job posting
Requirements:
4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4-10+ years of experience in risk analytics, model risk, or technology risk, including leadership or lead‑level responsibilities
Bachelor's or Master's degree in Risk Management, Data Science, Analytics, Engineering, or related field
Experience leading cross‑functional risk initiatives involving AI, data, and technology teams
Experience in risk analytics, model risk, AML/credit/operational risk, or advanced analytics roles
Working knowledge of AI/ML and Generative AI concepts, including model lifecycle risks, bias, explainability, and performance monitoring
Advanced degree (MBA, MS, or equivalent) in Risk Management, Analytics, Data Science, Engineering, or a related quantitative field
Strong experience in risk analytics, model risk management, or technology risk within a regulated or enterprise environment
Experience collaborating with AI, data, and engineering teams to assess risks, define controls, and establish governance standards
Excellent stakeholder and communication skills, with the ability to translate technical AI risks into clear business insights