Senior Risk Analytics Consultant - AI Analytics

About this role:
Wells Fargo is seeking a Senior Risk Analytics Consultant
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 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

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:

• 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.

Job Expectations:

• 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.
• Demonstrated ability to lead complex risk analytics initiatives and influence senior stakeholders.
• Strong understanding of risk analytics, model risk management, and enterprise control frameworks.
• Working knowledge of Generative AI concepts, architectures, and AI lifecycle risks.
• Experience partnering with technology and data teams in regulated environments.
• Strong analytical, communication, and stakeholder management skills.
• 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.
• This position is not eligible for Visa sponsorship.

Posting End Date:
19 Feb 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 .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.