Role OverviewThe Wells Fargo Quantitative Analytics Program offers PhD candidates an opportunity to apply advanced analytics, artificial intelligence, and machine learning to complex business challenges at one of the world's leading financial institutions. This 12-month development program combines hands-on project experience, mentorship, technical training, and exposure to senior leaders.
What You Will Do
You'll develop and deploy AI and machine learning solutions across generative AI, agentic systems, and traditional machine learning applications, design and build LLM-powered agents and multi-agent systems capable of planning, reasoning, task orchestration, and human-in-the-loop collaboration, and monitor production models and AI systems, evaluating performance, stability, and model drift through testing and analytics frameworks.
Why It Might Be a Fit
At Wells Fargo, you'll have the opportunity to work on meaningful business challenges while helping shape the future of AI and analytics in financial services. You'll gain exposure to enterprise-scale technologies, learn from industry leaders, and build valuable relationships across the organization as you begin your career.
Requirements
- 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Retirement plan
- Paid time off
- Stock options
- Flexible work arrangements
- Professional development opportunities
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