About this role:

Wells Fargo is seeking an experienced Lead Quantitative Analytics Specialistto join the Frontier AI Model Methodology team. The Frontier AI Model Methodology team plays a critical role in developing and productionizing methodologies, AI agents, and systems that transform and accelerate model development and validation at Wells Fargo scale. One of its key functions is to integrate, in close collaboration with Model Risk Officers, these advanced methodologies and AI agents into the overall risk management strategy, ensuring consistency and alignment with enterprise-wide objectives. This synergy enhances the robustness and reliability of models leveraged by the company, strengthens the effectiveness of model validations, and contributes to the continuous improvement of modeling standards and practices across the enterprise.

In this role, you will be a handson technical leader, architect, and builder, responsible for designing, developing, and delivering our Enterprise Model Validation platform, and AI agents. Success is defined by your ability to build productiongrade systems, influence through technical leadership, and partner closely with model developers, validators, and technology teams.

In this role, you will:

• Design, build, and deliver industryleading Enterprise Model Validation platform, and AI agents for model testing and realtime monitoring platforms, with a strong emphasis on production readiness and scalability.

• Architect and implement AI agentic solutions and systems on cloud-native environment such as Google Cloud Platform (GCP), enabling realtime processing and largescale distributed systems.

• Act as a handson senior engineer, directly contributing code across the stack (design, development, testing, deployment, and iteration).

• Provide technical leadership through architecture, design reviews, and implementation, setting a high engineering bar by example.

• Partner closely with Technology teams to unlock synergies that accelerate delivery, integration, and operationalization.

• Collaborate with Model Risk Management and Model Development teams to design and build scalable platforms and AI agentbased solutionsfor realtime model testing and monitoring.

• Translate complex model risk, validation, and governance requirements into robust, automated, and extensible technical solutions, governed by AI agents.

• Influence platform direction by contributing to technical roadmaps, design decisions, and prioritization, without owning formal product or people management.

• Champion engineering best practices, including reliability, observability, security, and maintainability, across AI and ML platforms.

Required Qualifications:

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Prior experience building Agentic AI systems leveraging GenAI (including Large Language and Reasoning Models)

• Strong handson software development experience, with proficiency in Python and experience building productiongrade platforms.

• Experience leveraging AI coding copilots and agentic development workflows (e.g., GitHub Copilot) to accelerate delivery while maintaining enterprise standards.

• Experience building or operating model evaluation, validation, and realtime monitoring solutions, governed by AI agents.

• Proven ability to design, build, test, deploy, and iterate endtoend solutions.

• Experience designing and operating cloudnative solutions such as GCP, including realtime or distributed systems.

• Experience working in financial services or regulated environments, with exposure to model risk, governance, or audit expectations.

• Strong ability to collaborate with model developers, validators, technology, and governance partners.

• Ability to deliver in fastpaced, ambiguous environments, balancing rigor and speed.

• Recognized technical leader (Individual Contributor) with strong communication skills and a track record of improving engineering quality and efficiency.

Job Expectations:

• This position offers a hybrid work schedule

• Willingness to work onsite at stated location on the job posting

• This position is eligible for VISA sponsorship

Job Posting Locations:

• Three Wells Fargo Center, CHARLOTTE, NC

• 600 Wells Fargo, MINNEAPOLIS, MN

• Las Colinas Bldg B, Irving Campus, IRVING, TX

• West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA

• D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO

• 1150 W Washington, TEMPE, AZ

• 333 Market, SAN FRANCISCO, CA

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*Job posting may come down early due to volume of applicants.