Quantitative Model Validator, NLP and Gen AI/ Agentic AI

Wells Fargo & Company•St. Louis, MO

4d•$100,000 - $196,000•Hybrid

About The Position

Wells Fargo is seeking a Quantitative Analytics Specialist to join its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM). The DSAI Group manages model risk across the model lifecycle, including risk tiering, validation, and performance monitoring. In this position, the Quantitative Model Validator will focus on models developed in-house and by third parties using machine learning and AI technologies, primarily for Natural Language Processing (NLP), Generative AI, and/or Agentic AI. The role operates in a fast-paced environment with changing policies and technologies, requiring the ability to manage multiple tasks and meet strict timelines. This position offers a hybrid work schedule and requires willingness to work onsite at the stated location.

Requirements

At least 2 years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or another quantitative discipline.
Willingness to work onsite at the stated location.
Ability to multitask and meet strict timelines in a fast-paced environment.

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-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 validation projects for NLP and Generative AI/Agentic AI.
Review analytical data and sampling plans, modeling frameworks, model replications, 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.