WF
Wells FargoCharlotte, NC
2027 Quantitative Analytics Summer Internship Capital Markets (PhD) – Early Careers
ApplyProgramme
Internship
Location
Charlotte, NC
Duration
10 weeks
Deadline
2026-09-25
About the role
Wells Fargo offers a 10-week Quantitative Analytics Summer Internship for PhD candidates to apply advanced analytics and AI in capital markets. Interns gain hands-on experience, mentorship, and exposure to senior leaders, working on impactful projects in a collaborative environment.
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.
- Develop and evaluate innovative solutions supporting strategy and risk management.
- High-performing interns may be considered for full-time roles.
- Includes mentorship, technical training, and leadership development.
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 Benefits
- Intern Induction Week at an offsite location.
- Structured onboarding and speaker series with senior leaders.
- Professional development and networking opportunities.
- On-the-job experience contributing to strategic business goals.
Required Qualifications
- 2+ years of work experience or equivalent through education, training, or military experience.
Desired Qualifications
- Pursuing a PhD in Mathematics, Physics, Engineering, Statistics, or related quantitative field.
- Expected graduation after December 2027.
- Proficient in programming languages like Python, C++, SQL, and Java.
- Knowledge of mathematical and numerical methods including Monte Carlo methods and statistics.
- Strong quantitative, analytical, and communication skills.
- Understanding of capital markets and risk management principles.