2027 Quantitative Analytics Summer Internship Capital Markets (Masters) – Early Careers

About the role

Wells Fargo offers a 10-week Quantitative Analytics Summer Internship in Capital Markets for Masters candidates. Interns apply advanced analytics and AI to business challenges, gaining hands-on experience, mentorship, and exposure to senior leaders in Charlotte, NC.

Program Overview

• 10-week summer internship from June to August 2027 in Charlotte, NC.
• Apply advanced analytics, AI, and machine learning to financial challenges.
• Work alongside experienced quantitative professionals on impactful projects.
• Develop technical, business acumen, and leadership skills.
• High-performing interns may be considered for full-time roles.
• Includes mentorship, technical training, and senior leader exposure.

Key Projects

• Develop pricing models for Wells Fargo trading desks.
• Enhance production models to prevent performance deterioration.
• Create simulation models to forecast trading portfolio losses.
• Develop benchmark models to assess production model limitations.
• Analyze and report metrics for ongoing model performance.
• Validate model design, calibration, and implementation using quantitative techniques.

Experience and Training

• Intern Induction Week at an offsite location.
• Structured onboarding and professional development opportunities.
• Speaker series with Wells Fargo senior leaders.
• Networking with peers and on-the-job strategic contributions.

Requirements

• 6+ months of work experience or equivalent through education or training.
• Currently pursuing a Masters in Mathematics, Physics, Engineering, Statistics, or related quantitative field.
• Expected graduation after December 2027.
• Strong programming skills in Python, C++, SQL, and Java.
• Knowledge of Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics.
• Strong quantitative, analytical, communication, and business skills.

Additional Qualifications

• Ability to apply data and software engineering skills for scalable solutions.
• Commitment to risk management and integrity in a data-driven environment.
• Authorized to work in the U.S. without visa sponsorship.