Lead Quantitative Analytics Specialist, Wells Fargo

Wells Fargo

Location:
United States, Charlotte ▼
Minneapolis
Irving
West Des Moines
Saint Louis
Tempe
San Francisco

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

159000.00 - 305000.00 USD / Year

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Job Description:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist to lead cutting-edge research and development initiatives in Artificial Intelligence, with a focus on Generative AI, Agentic AI, and Machine Learning. This role offers a unique opportunity to work at the intersection of advanced AI research and real-world financial applications.

Job Responsibility:

Lead cutting-edge research and development initiatives in Artificial Intelligence with focus on Generative AI, Agentic AI, and Machine Learning
Drive end-to-end research projects in AI/Generative AI/Agentic AI/Machine Learning from ideation and experimentation to implementation and evaluation
Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges
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 the development of innovative AI systems that enhance Wells Fargo's products, services, and operations
Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community

Requirements:

5+ 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 or related field or a MSc with at least 3 years of relevant industry or research experience
Proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP
Deep expertise in one or more specialized areas including Foundation Models, Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
Hands-on experience with modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, and AWS
Strong proficiency in rapid prototyping and structured software development practices
Demonstrated ability to contribute to collaborative software engineering projects including version control, code reviews, and scalable system design
Advanced programming proficiency in Python, with additional experience in Java or C++ considered a strong asset
Demonstrated ability to write clean, efficient, and scalable code in production and research environments
Strong intellectual curiosity and enthusiasm for solving complex problems relevant to financial services industry
Genuine interest in applying AI/ML to financial use cases such as risk modeling, fraud detection, or customer personalization

Nice to have:

PhD in Computer Science or related field
Experience in Java or C++
Prior experience in finance
Interest in applying AI/ML to financial use cases such as risk modeling, fraud detection, or customer personalization

What we offer:

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

Additional Information:

Job Posted:
October 09, 2025

Expiration:
October 12, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Quantitative Analytics Specialist