PAY RANGE

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$191,000.00 - $305,000.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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

Required Qualifications:

• 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 scienc

Desired Qualifications:

• 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

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.

In this role, you will:

• 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.

Required Qualifications:

• 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

Desired Qualifications:

• 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.

Job Expectations:

• Willingness to work onsite in the stated location at least 3 days per week