2027 Quantitative Analytics Summer Internship Risk Analytics and Decision Sciences (RADS PhD) – Early Careers

About the role

Wells Fargo's 2027 Quantitative Analytics Summer Internship offers PhD candidates a 10-week program to apply advanced analytics, AI, and machine learning to business challenges in risk analytics and decision sciences. Located in Charlotte, NC, it includes hands-on projects, mentorship, and leadership exposure.

Program Overview

• 10-week summer internship from June to August 2027 in Charlotte, NC.
• Apply advanced analytics, AI, and machine learning to business challenges.
• Work alongside experienced quantitative professionals on real projects.
• Develop technical, business acumen, and leadership skills.
• Exposure to senior leaders and professional development opportunities.
• High-performing interns may be considered for full-time roles.

Key Projects

• Forecast loss and revenue for credit card loan portfolios.
• Develop credit scorecards for consumer decision strategies.
• Build models to identify money laundering patterns in transaction data.
• Predict operational losses using statistical and machine learning.
• Validate model design, calibration, and implementation using quantitative techniques.

Experience and Training

• Intern Induction Week at an offsite location with structured onboarding.
• Speaker series featuring Wells Fargo senior leaders.
• Networking opportunities with peers and professionals.
• On-the-job experience contributing to strategic business goals.
• Professional development and continuous learning environment.

Requirements

• Currently pursuing a PhD in Statistics, Data Science, Mathematics, Econometrics, Computer Science, Engineering, or related quantitative field.
• Expected graduation after December 2027.
• Excellent programming skills in Python, R, SQL, Spark, or Java.
• Strong quantitative, analytical, and communication skills.
• Ability to apply data analysis, modeling, visualization, and generative AI.
• Commitment to integrity, risk management, and operational excellence.