Lead Quantitative Analytics Specialist - AI and Machine Learning

About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist within the AI Innovation & Modeling (AIM) group under the Chief Administrative Office (CAO), to drive our natural language processing and large language model initiatives. 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, collaborating with stakeholders, 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:

• Lead the design, development, and implementation of NLP and LLM-based systems for complex language understanding tasks.
• Architect scalable and robust solutions using state-of-the-art NLP techniques and open-source or vendor frameworks.
• Guide and mentor junior team members, fostering technical excellence and collaboration.
• Partner with cross-functional teams to gather requirements and deliver impactful AI-driven solutions.
• Engage with regulators, auditors, and technical stakeholders to ensure transparency and compliance.
• Stay abreast of emerging trends in NLP, LLMs, and GenAI, and translate research into practical applications.
• Drive innovation through proof-of-concept initiatives and exploratory research.
• Establish and promote best practices for model development, evaluation, and deployment.
• Build and operationalize AI/ML models using modern NLP libraries and cloud-native tools.

Required Qualifications:

• 5+ 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:

• Hands-on experience with GenAI frameworks and tools
• Deep understanding of ML, LLMs, and GenAI technologies 
• Strong strategic, communication, and collaboration skills 
• Experience in responsible AI practices and regulatory alignment 
• Strong programming skills in Python and experience with NLP libraries (NLTK, spaCy, Hugging Face)
• Strong experience in developing NLP models like logistic regression, XGboost, LightGBM’s linear SVC etc.
• Demonstrated experience fine-tuning and deploying LLMs (GPT, BERT, T5, etc.)
• Experience with prompt engineering and optimization techniques
• Knowledge of model evaluation metrics and performance optimization
• Experience leading technical teams and managing complex projects
• Experience with multimodal models and retrieval-augmented generation
• Contributions to open-source NLP/LLM projects or research publications
• Experience with MLOps and model deployment pipelines
• Knowledge of responsible AI practices and bias mitigation techniques
• Experience with cloud platforms (GCP, Azure) for ML workloads
• Background in specific domain applications (healthcare, finance, legal, etc.)
• Experience with distributed computing for large-scale model training

San Franciso, CA pay range: 191,000 to 305,000

 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

Pay Range
 

Reflected 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.

$159,000.00 - $305,000.00

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 reimbursem