Wells Fargo

Director, Quantitative Model Solutions

Wells Fargo

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California, North Carolina • 🇺🇸 United States

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Salary

💰 $215,000 - $355,000 per year

Job Level

Lead

About the role

  • Lead multiple specialized teams focused on model operations, optimization, and enablement, integrating design thinking, modern technology, and regulatory awareness
  • Oversee the development and implementation of a standardized model monitoring framework to ensure consistent performance tracking and risk management across the enterprise
  • Partner with AI teams and model developers to understand business and data needs, recommending tailored solutions and enabling rapid insight generation from models used in strategic decision-making
  • Direct efforts in data identification, onboarding, and feature engineering to support scalable and efficient use case development
  • Resolve complex model operations issues and guide the development of policies and standards for high-impact models, ensuring compliance with legal, privacy, and regulatory requirements
  • Translate theoretical and mathematical concepts into actionable strategies that enhance organizational effectiveness
  • Collaborate with senior leadership and cross-functional teams to align model optimization efforts with long-term business goals
  • Manage resource allocation and budgeting to support strategic objectives in Quantitative Model Solutions
  • Foster a culture of innovation and talent development to build a high-performing team aligned with business strategy
  • Stay current with LLMs, multimodal models, and GenAI frameworks (e.g., OpenAI, Anthropic, Hugging Face, LangChain)

Requirements

  • 8+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of management or leadership experience
  • Proven experience in developing and implementing model monitoring frameworks
  • Strong consultative skills with AI and data science teams
  • Expertise in data engineering and feature development for machine learning or statistical models
  • Familiarity with regulatory environments and compliance standards in model governance
  • Deep understanding of ML, LLMs, and GenAI technologies
  • Expertise in responsible AI practices and regulatory alignment
  • Stay current with LLMs, multimodal models, and GenAI frameworks (e.g., OpenAI, Anthropic, Hugging Face, LangChain)
  • Candidate must reside within a reasonable commute to a location listed in the posting
  • This position is not eligible for Visa sponsorship
Benefits
  • 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

Applicant Tracking System Keywords

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

Hard skills
quantitative model solutionsmodel operationsmodel monitoring frameworksdata engineeringfeature developmentmachine learningstatistical modelsLLMsGenAI technologiesresponsible AI practices
Soft skills
leadershipconsultative skillscollaborationinnovationtalent developmentstrategic alignmentresource allocationbudget managementproblem-solvingcommunication
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