As a
Senior Lead Quantitative Analytics Specialist within the
AI Innovation & Modeling (AIM) group under the
Chief Administrative Office (CAO), you will 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.
You will be responsible for guiding cross-functional execution, advising senior leadership, and ensuring the integrity and performance of quantitative models used in real-time decision-making. Your work will directly influence the quality and reliability of model-based analytics and technology solutions across the COO/CAO organization.
In this role, you will:- 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
Required Qualifications:- 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: 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
Desired Qualifications:- 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
Job Expectations: - This position offers a hybrid work schedule
- This position is not eligible for Visa sponsorship
- Candidate must reside within a reasonable commute to a location listed in the posting
San Franciso, CA pay range will be: 185,000 to 300,000
Pay RangeReflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$185,000.00 - $300,000.00
Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- 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
Posting End Date:28 Sep 2025
* Job posting may come down early due to volume of applicants. We Value Equal OpportunityWells 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 unit's risk appetite and all risk and compliance program requirements.
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