Wells Fargo
Financial Services
SeniorQuantitativeModelSolutionsSpecialist
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“Senior Quantitative Model Solutions Specialist at Wells Fargo. Skills: Quantitative Model Solutions, AI/ML Lifecycle, MLOps/LLMOps. Lead model maintenance initiatives. Participate in model maintenance initiatives”
What You'll Achieve.
Meet project deliverables; Demonstrate business impact; Demonstrate risk posture; Provide transparency into program status; Provide transparency into risks; Provide transparency into outcomes; Track platform adoption; Track operational performance; Track business outcomes; Ensure timely delivery; Accelerate adoption of capabilities
Industry & Context.
Resolve issues; Troubleshooting
What They're Looking For.
Must Have
4+ years quantitative solutions engineering experience, 4+ years model solutions experience, 4+ years quantitative model operations experience
Nice to Have
Bachelor's degree or higher in quantitative discipline, Proven ability in product management, Proven ability in solution management, Proven ability in program delivery, Proven ability in technical product ownership, 5+ years Gen AI AI/ML lifecycle experience, 5+ years enterprise MLOps experience, 5+ years LLMOps practices experience, 3+ years public cloud technologies experience, 3+ years container orchestration experience, Familiarity with APIs, Familiarity with distributed systems, Familiarity with cloud-native architectures, Working knowledge of Vertex AI, Working knowledge of BigQuery, Working knowledge of OpenShift, Working knowledge of IBM Cloud Pak for Data, Working knowledge of large-scale distributed model execution platforms, Analytical mindset, Ability to track performance metrics, Ability to track cost efficiency, Ability to track operational outcomes, Ability to develop executive-level roadmaps, Ability to execute executive-level roadmaps, Ability to develop dashboards, Ability to execute dashboards, Ability to develop reporting, Ability to execute reporting
What You'll Do.
Lead model maintenance initiatives
Participate in model maintenance initiatives
Lead model optimization initiatives
Participate in model optimization initiatives
Review quantitative models
Analyze quantitative models
Analyze model outputs
Validate model efficiency
Validate model results
Advise team on model optimization
Guide team on model optimization
Advise team on processes strategies
Guide team on processes strategies
Lead team to meet deliverables
Execute enterprise AI/ML platform initiatives
Support model lifecycle activities
Translate requirements into delivery plans
Facilitate governance forums
Facilitate leadership reviews
Facilitate stakeholder engagements
Develop standardized reporting
Maintain standardized reporting
Support platform administration operations
Coordinate cross-functional teams
Ensure timely delivery of AI/ML solutions
Contribute to roadmap planning
Contribute to release communications
Contribute to change management activities
Support platform migration initiatives
Support cost optimization tracking
Support operational readiness initiatives
Organize planning sessions
Facilitate planning sessions
Organize stakeholder engagements
Facilitate stakeholder engagements
How You'll Work.
Team & Collaboration
Partner with business teams; Partner with technology teams; Collaborate with peers; Collaborate with colleagues; Collaborate with managers; Cross-functional teams; Stakeholder engagements
Communication Scope
Executive-level roadmaps; Dashboards; Reporting; Business-aligned insights
Process & Methodology
Program delivery, Roadmap planning, Release communications, Change management
Full Job Description
**About this role:** Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist **In this role, you will:** * Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation * Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives * Advise and guide team on moderately complex model optimization and processes strategies * Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements * Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals **Required Qualifications:** * 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education **Desired Qualifications:** * Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, economics, computer science, or related field. * Proven ability in product management, solution management, program delivery, or technical product ownership, with a focus on Gen AI, AI/ML platforms, APIs, and/or cloud-native solutions * 5+ Experience across the Gen AI AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk controls * 5+ Experience with enterprise MLOps and/or LLMOps practices, including CI/CD pipelines, model lifecycle automation, and monitoring frameworks * 3+ years of hands-on experience with public cloud technologies (Google Cloud Platform and/or Microsoft Azure) and container orchestration (Docker, Kubernetes, OpenShift) * Familiarity wi
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