About this role:

Discover Risk. Build Impact. Stay Local.

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.

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.
• Credit Risk Modeling Group (RMG): Build models that guide credit decisions and forecasting.
• Independent Testing & Validation (IT&V): Validate risk models across the company.
• Technology Risk Management: Use AI/ML to enhance risk oversight across all business lines.

What You’ll Do

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

Required:

• 6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Preferred qualifications:

• Enrolled in the Data Science master’s program at UNCC with an expected graduation date of 2026 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

Who Should Apply?

• Masters students at UNC Charlotte graduating in 2026 or later
• Strong foundation in statistics, modeling, and programming
• Passion for data-driven problem solving and communication
• Prior experience (6+ months) through work, education, or military service
• Bonus: coursework in model risk, text mining, or information retrieval

Applications open August 26–31, 2025 only!
 

Wells Fargo will only consider candidates who are presently authorized to work for any employer in the United States and who will not require work visa sponsorship from Wells Fargo now or in the future to retain their authorization to work in the United States.

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state, and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

Posting End Date: 

30 Aug 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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