Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI at Wells Fargo & Company | AZ, US | Rezi

Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI at Wells Fargo & Company

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

Wells Fargo & Company · AZ, US

Today

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

Wells Fargo & Company · AZ, US

38 minutes ago
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About the Role

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM). This role focuses on validating models with machine learning and AI technologies, primarily for Natural Language Processing (NLP), Generative AI, and Agentic AI. The MRM environment is fast-paced, requiring multitasking and adherence to strict timelines.

Responsibilities

  • Support model validation projects for NLP and Gen AI/Agentic AI.
  • Coach junior team members.
  • Review analytical data, sampling plans, modeling frameworks, model replications, model performance assessments, and test model development.
  • Conduct 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 compliance with governance policies and regulations.
  • Communicate with stakeholders, regulators, and auditors.

Requirements

  • 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.

Skills

  • Machine Learning (ML) methodologies
  • Ensemble algorithms
  • Neural networks
  • Supervised and unsupervised learning
  • Natural Language Processing (NLP) concepts
  • Transformer architecture
  • Generative AI technologies
  • Python
  • Java
  • ML/AI computing platforms and tools
  • PyTorch
  • TensorFlow
  • Keras
  • GPU programming
  • Multi-core programming
  • Distributed programming
  • Excellent writing and communication skills
  • Ability to work in cross-organizational projects
  • Self-motivated
  • Minimal supervision
  • Proficient with MRM framework and procedure

Location

  • Onsite at stated location

Work Type

  • Hybrid work schedule

Experience Level

  • Senior

Education Level

  • Bachelor's degree
  • PhD

Salary/Compensations

  • $139,000.00 - $260,000.00

Benefits

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance
  • Critical illness insurance
  • Accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

About the Company

  • Wells Fargo is an equal opportunity employer.
  • Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture.
  • They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance).
  • There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
  • Wells Fargo maintains a drug free workplace.

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.