WF
Wells FargoCharlotte, NC

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

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Programme

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.