Lead Quantitative Analytics Specialist

Wells Fargo • Charlotte, NC

77d • $159,000 - $305,000 • Hybrid

About The Position

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.

Requirements

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.

Nice To Haves

• 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 but not limited to: 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, as well as 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.
• A strong intellectual curiosity and enthusiasm for solving complex problems, particularly those relevant to the financial services industry.
• While prior experience in finance is not required, a genuine interest in applying AI/ML to financial use cases - such as risk modeling, fraud detection, or customer personalization - is highly valued.

Responsibilities

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees