Senior Quantitative Model Solutions Specialist - Program Manager

Location: Bengaluru

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, Open Shift)
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, Big Query, Open Shift, 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:

21 Jun 2026

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…