Senior Quantitative Analytics Specialist (Senior GenAI Data Scientist)

About this role:

Wells Fargo is seeking two Senior Quantitative Analytics Specialists (Senior GenAI Data Scientists) to support driving natural language processing (NLP) and large language model (LLM) initiatives as part of the Consumer Model Development group.

This role is ideal for a seasoned professional passionate about building scalable Natural Language Processing (NLP) solutions and driving innovation in large language model (LLM) applications.

Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

Apply advanced statistical theory to quantify, analyze, and manage data, financial risks, and market dynamics through robust modeling approaches

Collaborate and partner with internal and external stakeholders to gather requirements and deliver impactful, data driven and AI enabled solutions

Engage with Audit, Model, Product, and technical stakeholders to ensure transparency, governance, and compliance with regulatory expectations

Establish and promote best practices across the model lifecycle, including development, evaluation, validation, deployment, and monitoring, while contributing to analytical strategies, modeling approaches, and forecasting methodologies through execution of complex model development and implementation

Drive innovation through proof-of-concept initiatives, experimentation, and applied research, while staying current on emerging trends in Generative AI, large language models (LLMs), and Natural Language Processing (NLP), and translating insights into practical business applications

Guide and mentor junior team members, fostering technical excellence, collaboration, and knowledge sharing

Lead the design, architecture, and implementation of scalable artificial intelligence (AI), machine learning (ML), Natural Language Processing (NLP), and large language model (LLM) solutions using advanced techniques, modern frameworks, and cloud native tools to support complex language understanding use cases

Required Qualifications:

4+ years of Quantitative Analytics 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, physics, economics, or computer science

Desired Qualifications:

Advanced analytical and strategic thinking skills with the ability to assess complex data, systems, architectures, and data flows to identify risks and opportunities and drive timely, data driven decision making

Demonstrated ability to work independently, take initiative, and exercise sound judgment within a matrixed environment to drive business outcomes

Advanced collaboration, influencing, and communication skills with the ability to build trusted relationships, align stakeholders, and communicate complex information effectively across all organizational levels, including executive leadership

Demonstrated expertise in artificial intelligence (AI), including Generative AI, large language models (LLMs), Natural Language Processing (NLP), prompt engineering, multimodal models, and retrieval augmented generation, with experience leading initiatives from concept through production

Experience with Agile practices, product management principles, and modernization initiatives, including automation and cloud transformation, within financial services or other regulated environments

Familiarity with regulatory and compliance considerations related to artificial intelligence (AI) model development, validation, and deployment within regulated environments

Knowledge of model evaluation metrics, performance optimization techniques, and responsible artificial intelligence (AI) practices, including bias mitigation

Proficiency in Python with experience using machine learning (ML) frameworks (such as PySpark, PyTorch, TensorFlow), Natural Language Processing (NLP) libraries (such as Hugging Face, NLTK, spaCy), and cloud platforms including Google Cloud Platform (GCP), Vertex AI, or Azure

Strong data science capabilities across data engineering, model development, deployment, and production support, including experience leveraging artificial intelligence (AI) and automation tools such as Generative AI and GitHub Copilot to improve efficiency and delivery outcomes

Job Expectations:

Ability to travel up to 5%

Adhere to standards outlined with written policy as well as applicable State and Federal regulations

Willingness to work on-site at stated location on the job opening

Location(s): Preferred locations listed below; Relocation assistance is not available for this position.

333 Market Street, San Francisco, California 94105

11625 N. Community House Road, Charlotte, North Carolina 28277

401 S. Tryon Street, Charlotte, North Carolina 28202

Pay Range:

North Carolina – Charlotte: $139,000.00 - $217,000.00

California – San Francisco: $153,000.00 - $260,000.00

Actual salary is determined by location, experience and qualifications of the job

May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards

IMPORTANT INFORMATION:

AFTER SUBMITTING YOUR APPLICATION, PLEASE MONITOR YOUR E-MAIL FOR FUTURE COMMUNICATIONS

Once your application is received, Wells Fargo will make initial contact with you via e-mail

Please ensure your contact information (e-mail address and phone number) is current in your Wells Fargo Jobs Profile

If your contact information has changed, please update prior to applying to this position

Based on the volume of applications received, this job posting may be removed prior to the indicated close date. If you do not apply prior to the closing of this posting, we encourage you to apply for other opportunities with Wells Fargo.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$139,000.00 - $260,000.00

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:

6 Aug 2026

Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

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.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.