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

Wells Fargo
Charlotte, North Carolina, United StatesPosted Sep 9, 2026
Finance / Investment Banking

About the role

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. Through this 10-week internship you'll work alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo. You'll be expected to bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way, you'll develop not only your technical capabilities but also the business acumen and leadership skills needed to succeed in a highly collaborative environment. Whether you're advancing cutting-edge AI research, developing innovative analytical solutions, or collaborating with teams across the organization, you'll have opportunities to make an impact while continuing to grow professionally. This internship offers valuable experience, mentorship, and networking opportunities that can help prepare you for the next step in your career. High performing interns may receive consideration for full-time roles after graduation. #earlycareers

You could work on high-impact projects like

Develop AI-powered advisors and decision support systems that synthesize customer, relationship, market, and enterprise data to generate insights, recommendations, and actions. Build Generative AI assistants and intelligent agents that leverage enterprise knowledge, reasoning, and w

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