Senior Quantitative Analytics Specialist - Generative and Agentic AI model validation
Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join its Decision Science and Artificial Intelligence (DSAI) group within Model Risk Management (MRM). The DSAI Group manages model risk throughout the model lifecycle, including risk tiering, validation, and performance monitoring. This role focuses on models built in-house and by third parties using machine learning and AI technologies, particularly for Natural Language Processing (NLP), Generative AI, and/or Agentic AI. MRM operates in a fast-paced environment with evolving policies and technologies, requiring the ability to multi-task and meet strict deadlines.
About the role
In this position, you will support validation projects, coach junior team members, and review analytical data, sampling plans, modeling frameworks, model replications, performance assessments, and monitoring. You will also provide effective challenge to lines of business, develop reusable code and libraries for NLP and Gen AI model validation, and write detailed analytical reports to ensure compliance with governance policies and regulations. Communication with stakeholders, regulators, and auditors is a key aspect of the role.
Responsibilities
- Support validation projects and coach junior team members.
- Review analytical data, sampling plans, modeling frameworks, model replications, performance assessments, and monitoring.
- Provide effective challenge to lines of business regarding model development and testing.
- 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.
Qualifications
- 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 with knowledge of 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.
- Self-motivated with minimal supervision, producing work consistent with MRM's recognized framework and high standards.
- Proficient with MRM framework and procedures.
Job Expectations
- Ability to travel up to 15% of the time.
- Hybrid work schedule.
- Willingness to work onsite at the stated location.
- Eligible for VISA sponsorship.
Locations
- Three Wells Fargo Center, Charlotte, NC
- 600 Wells Fargo, Minneapolis, MN
- Las Colinas Bldg B, Irving Campus, Irving, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, West Des Moines, IA
- D Building, 114 N Beaumont St, Saint Louis, MO
- 1150 W Washington, Tempe, AZ
- 333 Market, San Francisco, CA
Pay
$139,000.00 - $260,000.00 base pay range. Pay may vary depending on factors including demonstrated performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
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