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

Wells Fargo Bank•Charlotte, NC

2d•Hybrid

About The Position

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join the Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM). DSAI manages model risk throughout the model lifecycle, including risk tiering, validation, and performance monitoring. In this position, the Senior Quantitative Model Validator focuses on models built in-house and by third parties using machine learning and AI technologies, primarily for Natural Language Processing (NLP), Generative AI, and/or Agentic AI. MRM operates in a fast-paced environment with changing policies and technologies, where multitasking and meeting strict timelines are critical. The position supports model validation projects and coaches junior team members. It reviews analytical data, sampling plans, modeling frameworks, model replications, performance assessments, model development and monitoring, and provides effective challenge to lines of business. The role also develops reusable code and libraries to accelerate NLP and Generative AI model validation, prepares analytical reports supporting compliance with governance policies and regulations, and communicates with stakeholders, regulators, and auditors. The position offers a hybrid work schedule and requires willingness to work onsite at the location stated in the job posting. The listed base pay range is $139,000 to $260,000; pay may vary based on factors including performance, skills, experience, and work location. Employees may also be eligible for incentive opportunities.

Requirements

At least 4 years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
A 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.

Nice To Haves

A PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline.
In-depth knowledge of machine learning methodologies such as ensemble algorithms, neural networks, supervised learning, 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 on cross-organizational projects and collaborate with other groups.
Self-motivation, ability to work with minimal supervision, and ability 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 models.
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 governance policies and regulations.
Communicate with stakeholders, regulators, and auditors.