Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI

Wells Fargo & Company•St. Louis, MO

4d•$139,000 - $260,000•Hybrid

About The Position

Wells Fargo is seeking a Senior Quantitative Analytics Specialist for its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM). The DSAI Group manages model risk throughout the model lifecycle, including risk tiering, validation, and performance monitoring. In this position, the Senior Quantitative Model Validator focuses on in-house and third-party models that use machine learning and AI technologies, primarily Natural Language Processing (NLP), Generative AI, and/or Agentic AI. The role operates in a fast-paced environment with evolving policies and technologies, where multitasking and meeting strict timelines are important. The position supports model validation projects, coaches junior team members, reviews modeling and validation work, develops reusable code and libraries, prepares analytical reports, and communicates with stakeholders, regulators, and auditors. The role offers a hybrid work schedule and requires willingness to work onsite at the location stated in the job posting. The stated base pay range is $139,000 to $260,000. Eligible employees may also qualify for incentive opportunities and Wells Fargo benefits. The posting end date is November 8, 2026, although the posting may be removed earlier due to applicant volume.

Requirements

At least 4 years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Willingness to work onsite at the location stated in the job posting.
Ability to multitask and meet strict timelines in a fast-paced environment with changing policies and technologies.

Nice To Haves

PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline.
In-depth knowledge of machine learning methodologies, including ensemble algorithms, neural networks, and supervised and unsupervised learning.
In-depth knowledge of NLP concepts, including transformer architecture and other generative AI technologies.
Strong computing and programming background and knowledge of one or more languages such as Python and Java.
Experience with ML/AI computing platforms and tools such as PyTorch, TensorFlow, and Keras.
Experience with GPU programming, multi-core programming, or distributed programming.
Excellent writing and communication skills for documentation and presentations to audiences with varied technical backgrounds.
Ability to work collaboratively on cross-organizational projects.
Self-motivated, able to work with minimal supervision, and able to produce work consistent with MRM’s framework, procedures, and standards.
Proficiency with the MRM framework and procedures.

Responsibilities

Support model validation projects for NLP and Generative AI/Agentic AI and coach junior team members.
Review analytical data and sampling plans, modeling frameworks, model replications, model performance assessments, model development testing, and model monitoring.
Provide effective challenge to lines of business.
Develop reusable code and libraries to accelerate NLP and Generative AI model validation.
Write detailed standard analytical reports to support compliance with Wells Fargo governance policies and regulations.
Communicate with stakeholders, regulators, and auditors.
Follow applicable risk programs, Wells Fargo policies and procedures, and risk and compliance obligations; escalate and remediate issues as appropriate.