Senior Quantitative Model Solutions Specialist

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 with APIs, distributed systems, and cloud-native architectures supporting AI/ML workloads

Working knowledge of enterprise platform components and services such as Vertex AI, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and large-scale distributed model execution platforms

Strong analytical mindset with ability to track performance metrics, cost efficiency, and operational outcomes

Proven ability to develop and execute executive-level roadmaps, dashboards, and reporting that clearly demonstrate business impact and risk posture

Job Expectations:

Responsible for the execution of enterprise AI/ML platform initiatives, supporting model lifecycle activities across hybrid environments

Partner with business and technology teams to translate requirements into actionable delivery plans

Facilitate governance forums, leadership reviews, and stakeholder engagements to provide transparency into program status, risks, and outcomes

Develop and maintain standardized reporting, metrics, and dashboards to track platform adoption, operational performance, and business outcomes

Support Platform administration operations, including data governance, approvals, and compliance with enterprise data and privacy standards

Coordinate cross-functional teams to resolve blockers, manage escalations, and ensure timely delivery of AI/ML solutions

Contribute to roadmap planning, release communications, and change management activities across enterprise AI/ML platforms

Support large-scale transformation initiatives including platform migration, cost optimization tracking, and operational readiness across cloud and on-prem environments

Organize and facilitate workshops, planning sessions, and stakeholder engagements to accelerate adoption of enterprise AI/ML capabilities

Strong communication skills with the ability to engage senior stakeholders and translate complex technical concepts into business-aligned insights

Posting End Date:

17 Jun 2026

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

We Value Equal Opportunity

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.