Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Wells Fargo

Senior Manager, Quantitative Analytics – Agentic AI Platform & Product Owner

Wells Fargo

. Manage, lead, and build the Enterprise Model Validation platform, AI agents, and team .

Posted 10/14/2026full-timeUnited StatesSenior💰 $185,000 - $300,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing and leading AI agentic solutions and model validation platforms, with a strong focus on real-time monitoring and large-scale distributed systems. Possesses a solid foundation in quantitative analysis and product development within the financial services sector.

Highest-signal resume keywords
AI Agentic Systems DevelopmentQuantitative Analytical ExperienceLeadership in Agile EnvironmentsReal-Time Model MonitoringProduct Development and Roadmapping

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Quantitative AnalysisAI/ML Model EvaluationAgentic AI ImplementationLarge Language ModelsGenAI ApplicationCloud-Native SolutionsAutomated Model ValidationStatistical AnalysisData ProcessingModel Risk Management
Soft Skills
LeadershipCommunicationTeam DevelopmentCollaborationProblem-Solving
Tools & Technologies
Google Cloud PlatformGitHub CopilotAgile MethodologiesScrumKanban
Certifications & Qualifications
Master's Degree in Quantitative Discipline
Industry Keywords
Financial ServicesAI/ML DeliveryModel ValidationProduct Lifecycle ManagementCross-Functional Collaboration

Tech Stack

Tools & technologies
CloudDistributed SystemsGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Manage, lead, and build the Enterprise Model Validation platform, AI agents, and team
  • Drive development and delivery of AI agentic-based model validation, testing, and real-time monitoring capabilities
  • Design and deliver AI agentic solutions and systems on cloud-native environments such as Google Cloud Platform
  • Enable real-time processing and large-scale distributed systems
  • Define AI product requirements and manage the agentic product lifecycle
  • Lead cross-functional collaboration with Technology partners
  • Contribute directly to solution design, development, and execution
  • Partner with Model Risk and Model Development teams to build scalable platforms and agent-based solutions
  • Develop and guide a culture of talent development
  • Manage a team of highly skilled AI scientists and engineers
  • Drive automated validation and monitoring of models
  • Build strategic partnerships with Lines of Business, Technology, and Model Risk Management
  • Report to the Head of Frontier AI Model Methodology

Requirements

What you’ll need
  • 7+ years of Quantitative Analytical experience, or equivalent demonstrated through work experience, training, military experience, or education
  • 3+ years of management or leadership experience
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
  • Prior experience as a hands-on technical leader building Agentic AI systems leveraging GenAI, including Large Language and Reasoning Models
  • Experience applying GenAI / Agentic AI across design, implementation, testing, and iteration
  • Experience leveraging AI coding copilots such as GitHub Copilot and agentic coding workflows
  • Experience in AI / ML model evaluation, validation, and real-time model monitoring
  • Experience in product development, product roadmaps, and go-to-market plans
  • Track record delivering in a fast-paced environment
  • Track record leading high-performing teams
  • Experience leading and managing teams in Agile development environments such as Scrum or Kanban
  • Excellent leadership and communication skills
  • Strong domain expertise in financial services and AI/ML delivery
  • Strong understanding of current and emerging technology, including Agentic AI
  • Ability to build partnerships with model developers, validators, users, audit, and governance partners
  • Prior experience in financial services or a related industry
  • Willingness to work onsite at a stated job-posting location
  • Eligible for visa sponsorship

Benefits

Comp & perks
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
  • Incentive opportunities may be available