Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Quantitative Analytics Specialist to support applied research and development in Artificial Intelligence, focusing on Foundation Models, Agentic AI solutions, and Generative AI systems. This role is at the intersection of AI research and financial applications.
Responsibilities
- Perform highly complex research projects in AI / Generative AI / Agentic AI / Machine Learning from ideation, experimentation, implementation, evaluation and documentation.
- Support building the next generation of foundation models and agentic AI systems, exploring and evaluating emerging AI technologies.
- Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
- Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
- Contribute to building next-generation foundation models and agentic AI systems trained on large volumes of heterogeneous data.
- Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.
Requirements
- 4+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
- PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research or industry experience.
- Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications.
- Deep expertise in one or more specialized areas, including Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI.
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots and agentic coding workflows.
- Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
- Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
- Experience with transferring foundation models, LLMs, and agentic AI systems in production.
Skills
- Artificial Intelligence
- Foundation Models
- Agentic AI
- Generative AI
- Machine Learning
- Large Language Models (LLMs)
- Multimodal Models
- GPU infrastructure
- Transformer architecture
- TensorFlow
- PyTorch
- Hugging Face
- AWS
- GCP
- Version control
- Code reviews
- Scalable system design
Location
- CHARLOTTE, NC
- MINNEAPOLIS, MN
- IRVING, TX
- WEST DES MOINES, IA
- SAINT LOUIS, MO
- TEMPE, AZ
- SAN FRANCISCO, CA
Work Type
- Hybrid
- Onsite
Experience Level
- Senior
- AVP
Education Level
- Master'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, 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’s Model Risk Management (MRM) team is seeking a Senior Quantitative Analytics Specialist (AI Research Scientist – Foundation Models & Agentic AI - Senior AVP) to support the cutting-edge applied research and development initiatives in Artificial Intelligence, with a focus on building the next generation of Foundation Models, Agentic AI solutions, and Generative AI systems.
- Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company.
- They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions.
- 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.
Equal Opportunity
- Wells Fargo is an equal opportunity employer. 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.
- Applicants with Disabilities: To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
- Drug and Alcohol Policy: Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
- Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.