Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI
Wells Fargo & Company · AZ, US
38 minutes agoImpress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI role.
Rezi rewrites your resume against Wells Fargo & Company's job description. Free.

Tailor your resume to this Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI role.
Rezi rewrites your resume against Wells Fargo & Company's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI posting at Wells Fargo & Company — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Quantitative Model Validator, NLP and Gen AI/ Agentic AI posting at Wells Fargo & Company — free, in seconds.
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.