Senior Lead Quantitative Analytics Specialist - GenAI Evaluations, Wells Fargo

Senior Lead Quantitative Analytics Specialist - GenAI Evaluations

Wells Fargo

Location:
United States, Charlotte ▼
San Francisco

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

185000.00 - 300000.00 USD / Year

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Job Description:

Serve as a strategic leader in advancing AI model delivery and data science across the enterprise. This role is pivotal in translating cutting-edge AI and GenAI capabilities into scalable, ethical, and high-impact use cases that align with enterprise goals and regulatory standards.

Job Responsibility:

Establish data science standards for efficient and risk-managed Gen AI and Agentic AI solutions
Collaborate with subject matter experts to understand the problem domain and business goals
Develop Python code for evaluation systems, synthetic data pipelines, automated prompting, and model fine-tuning
Prepare technical documentation and executive reports on project outcomes

Requirements:

7+ years of Quantitative Analytics experience, or equivalent demonstrated through 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

Nice to have:

Experience working in a large bank and delivering AI models
Deep understanding of ML, LLMs, and GenAI technologies
Strong strategic, communication, and collaboration skills
Experience in responsible AI practices and regulatory alignment
Familiarity with enterprise-scale AI deployment and performance measurement
Hands-on experience with GenAI frameworks and tools

What we offer:

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

Additional Information:

Job Posted:
September 23, 2025

Expiration:
September 28, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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