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About the Role

Wells Fargo's Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM) is seeking a Quantitative Analytics Specialist. This role focuses on validating models with machine learning and AI technologies, particularly for Natural Language Processing (NLP), Generative AI, and Agentic AI. The position requires working in a fast-paced environment with evolving policies and technologies, emphasizing the critical need for multitasking and meeting strict deadlines.

Responsibilities

Support validation projects for NLP and Gen AI/Agentic AI.
Review analytical data, sampling plans, modeling frameworks, model replications, model performance assessments, and test model development.
Monitor models and provide effective challenge to lines of business.
Develop reusable code and libraries to accelerate NLP and Gen AI model validation.
Write detailed analytical reports to ensure compliance with governance policies and regulations.
Communicate with stakeholders, regulators, and auditors.

Requirements

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 a quantitative discipline.
Proficient with MRM framework and procedure.
Ability to work in cross-organizational projects and collaboratively with other groups.
Self-motivated, requiring minimal supervision, and producing work consistent with MRM's framework, procedure, and high standards.

Skills

Machine Learning (ML) methodologies (ensemble algorithms, neural networks, supervised and unsupervised learning)
Natural Language Processing (NLP) concepts (transformer architecture, generative AI technologies)
Programming languages (Python, Java)
ML/AI computing platforms and tools (PyTorch, TensorFlow, Keras)
GPU programming, multi-core, or distributed programming
Excellent writing and communication skills for documentation and presentations
Analytical data review
Model validation
Risk management
Compliance
Stakeholder communication

Location

Stated location on job posting

Work Type

Hybrid work schedule
Onsite

Experience Level

2+ years of Quantitative Analytics experience

Education Level

Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline

Salary/Compensations

$100,000.00 - $196,000.00

Benefits

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

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.