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Wells Fargo Logo Wells Fargo · IT - Software Development

Senior Quantitative Model Solutions Specialist - Program Manager

India, Bengaluru Employment contract · Job Posted June 16, 2026
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Job Description

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist

Job Responsibility

  • 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
  • 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

Requirements

  • 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
  • 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
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