Senior Quantitative Analytics Specialist

About this role:

Wells Fargo is seeking a Senior 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:

• 4+ 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:

• Employee must comply with the RTO requirement in the local market 

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.

$133,300.00 - $237,100.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• 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

Posting End Date:

25 Jun 2025

*Job posting may come down early due to volume of applicants.

We Value 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, disabi