About the role#
The Quantitative Analytics Summer Internship in Applied Computational Intelligence offers PhD candidates the chance to apply advanced AI and machine learning to complex financial challenges. This 10-week program combines hands-on project work with mentorship, technical training, and exposure to senior leadership. You will work alongside experienced quantitative professionals to develop solutions that support business strategy, risk management, and customer experience.
What you'll do#
- Develop AI-powered advisors and decision support systems to generate insights and recommendations.
- Build Generative AI assistants and intelligent agents to support employees and customers.
- Design and deploy agentic AI and multi-agent systems to automate customer service and operational processes.
- Create enterprise knowledge intelligence platforms using RAG, LLMs, and multimodal AI.
- Advance enterprise AI through model training, evaluation, optimization, and deployment.
What you'll need#
- Currently pursuing a PhD in Computer Science, Statistics, Data Science, Econometrics, Mathematics, Engineering, or a related quantitative field.
- Expected graduation date after December 2027.
- Strong programming experience with tools such as Python, Go, C++, Rust, Java, or Spark.
- Hands-on experience developing machine learning and AI solutions in research, academic, or industry environments.
Location & details#
- Location: Charlotte, North Carolina.
- Term: Summer 2027 (10 weeks).
- Modality: On-site.
- This is a full-time, paid internship.
About Wells Fargo
Wells Fargo is a financial services company based in San Francisco. It manages approximately $1.9 trillion in assets. The company provides banking, investment, and mortgage products to customers in the United States and over 40 other countries. It operates through a large network of physical branches, ATMs, and digital platforms.
How to get in at Wells Fargo
Securing an internship at Wells Fargo requires speed, as the volume of applications is high. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first. Early applicants are often seen before the pile grows too large for recruiters to manage. You can also use Intern Insider to surface the specific recruiters behind the company's roles. Reaching out directly to these individuals to ask about the role or a referral can materially improve your response rates compared to submitting a cold application.
