Lead Quantitative Analytics Specialist - AI and Machine Learning

About this role:

Wells Fargo is seeking aLead Quantitative Analytics Specialistwithin theAI Innovation & Modeling (AIM)group under theChief 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.

• 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

• 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

• 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

• 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