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Senior Quantitative Analytics Specialist - Natural Language Processing (NLP) and/or Generative AI

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, CHARLOTTE

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

139000.00 - 239000.00 USD / Year

Job Description:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist (SQAS) ( Senior Assistant Vice President) to join its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM). The responsibilities of the DSAI Group include end to end responsibility of managing the model risk over the model lifecycle including risk tiering, validation, and performance monitoring etc. In this specific position, the analyst will focus on models built in house and by third parties with machine learning and AI technologies primarily for the purpose of Natural Language Processing (NLP) and/or Generative AI. MRM operates in a fast-paced work environment with continuously changing policies and technologies and the ability to multi-task and meet strict timelines is critical.

Job Responsibility:

  • Support the validation projects and coach junior team members
  • Review analytical data and sampling plans, various modeling frameworks, model replications, model performance assessments, test model development, model monitoring, and provide effective challenge to lines of business
  • Develop reusable code and libraries to accelerate NLP and Gen AI model validation
  • Write detailed standard analytical reports to ensure Wells Fargo’s compliance with governance policies and regulations
  • Communicate with stakeholders, regulators, and auditors

Requirements:

  • 4+ 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
  • A PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline
  • In-depth knowledge of Machine Learning (ML) methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning
  • In-depth knowledge of Natural Language Processing 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, or distributed programming
  • Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds
  • Ability to work in cross-organizational projects and collaboratively with other groups
  • Be self- motivated, require minimal supervision, and produce work that is consistent with MRM’s recognized framework, procedure, and high standards
  • Proficient with MRM framework and procedure

Nice to have:

  • A PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline
  • Experience with ML/AI computing platforms and tools such as PyTorch, TensorFlow and Keras
  • Experience with GPU programming, multi-core, or distributed programming
  • Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds
  • Ability to work in cross-organizational projects and collaboratively with other groups
  • Be self- motivated, require minimal supervision, and produce work that is consistent with MRM’s recognized framework, procedure, and high standards
  • Proficient with MRM framework and procedure
What we offer:
  • 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

Additional Information:

Job Posted:
August 18, 2025

Expiration:
August 22, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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