2026-2027 Wells Fargo Corporate Risk Externship Program (Masters) – Early Careers

About this role:  Wells Fargo is seeking talent to join the 2026-2027 Wells Fargo Corporate Risk Externship Program (Masters). Learn more about the career areas and lines of business at wellsfargojobs.com.  

Program Overview | Are you a UNC Charlotte master’s student ready to turn your data skills into real-world impact—without leaving the Queen City? Wells Fargo’s Corporate Risk Externship Program is your opportunity to dive into the world of financial risk, analytics, and AI while staying close to campus. 

This paid, part-time externship is designed for students like you: curious, driven, and ready to explore how data science powers smarter decisions in banking.  #earlycareers 

What You’ll Explore 

You’ll be matched with one of our high-impact risk teams: 

• Model Risk Management (MRM): Ensure models are accurate and regulatory-ready. 

• Independent Testing & Validation (IT&V): Validate the effectiveness of controls within the organization. 

• Technology Risk Management: Use AI/ML to enhance risk oversight across all business lines. 

• Risk Analytics, Data, and Reporting (RADAR): Deliver critical reporting, analytics, and business support solutions across the organization. 

• Risk AI: Develop multi-agent solutions that support risk management across the company. 

What You’ll Experience: 

• Code in Python, R, SAS, SQL, or Scala/Spark 

• Develop AI tools and solutions that enhance risk management strategies  

• Develop and validate models using statistical and machine learning techniques 

• Collaborate with experts and present your insights to stakeholders 

• Stay current with regulatory frameworks and risk trends 

• Solve real problems with real data 

Program dates: October 2026 – March 2027  

Program Duration: 20 hours a week  

Program Location: Charlotte, NC   

Required Qualifications:

Desired qualifications: 

• Enrolled in the Data Science or Computing and Informatics master’s program at UNCC with an expected graduation date of May 2027 or later  

• Completed undergraduate degree in Statistics, Computer Science, Economics/Econometrics, Operations Research, Computer Science, Engineering, or a related quantitative field  

• Courses in model risk management, text mining and/or information retrieval highly preferred 

• Experience and ability to demonstrate first-hand knowledge in several of these areas: data analytics, modeling, statistical inference, computing, big data analytics, Artificial Intelligence (machine learning, natural language processing, etc.) 

• Knowledge of Programing skills and demonstrated ability to develop numerical algorithms in at least one of the following languages: Python, SAS, SQL, and Scala/Spark 

• Strong verbal and written communication skills as well as interpersonal skills 

• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment 

• Ability to develop partnerships and collaborate with other business and functional areas