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2027 Quantitative Analytics Summer Internship Applied Computational Intelligence (ACI Masters) – Early Careers

Wells Fargo

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Hours
Full time
Where
CHARLOTTE, NC
Posted
4 days ago

About this role: Wells Fargo is seeking talent to join the 2027 Quantitative Analytics Summer Internship Program ACI (Masters). Learn more about the career areas and lines of business at wellsfargojobs.com

Program Overview | The Wells Fargo Quantitative Analytics Internship Program offers Masters 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 10-week summer internship combines hands-on project experience, mentorship, technical training, and exposure to senior leaders.

What you'd do

  • Experience with supervised fine-tuning (SFT) and post-training methodologies including RLHF, RLAIF, PPO, DPO, and GRPO
  • Training and deploying models in cloud environments, including GCP
  • Multi-agent architectures and orchestration frameworks like LangChain, LangGraph, Google's ADK, CrewAI
  • Retrieval-Augmented Generation (RAG) applications and intelligent agent deployment
  • Distributed GPU training
  • Efficient model tuning approaches such as LoRA and PEFT

What they want

  • Strong programming experience with tools such as Python, Go, C++, Rust, Java, Spark, or similar technologies
  • Hands-on experience developing machine learning and AI solutions in research, academic, or industry environments
  • Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions.
  • Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset.
  • Strong communication skills, with the ability to foster an inclusive environment and actively seek, apply, and respond to feedback in collaborative analytical settings.
  • Strong business acumen with a commitment to providing excellent service and supporting data-informed business outcomes.
  • Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment.
Starts
2026-09-09