Wells Fargo Quantitative Analytics Summer Internship Risk 

United States, North Carolina, Charlotte 

1082832

Jumpstart Your Career with a 10-WeekRisk Analytics and Decision Science

10-week internship programgain hands-on experience developing, implementing, calibrating, and

Through a blend ofmentorship, classroom-style training, and project-based learningdive into challenging, meaningful work that tackles

Expect a fast-paced, diverse environment where innovation is encouraged and your ideas mattermodeling techniques, this internship is designed to grow your skills, expand your network, and prepare you for a full-time role. In fact,

work on high-impact projects like:

• Forecasting loss and revenue for credit card loan portfolios

• Developing credit scorecards for consumer decisioning strategies

• Evaluating text-to-speech models for customer call centers

• Designing agentic workflows for consumer and operations teams

• GenAIforoptimizedcommercial banking underwriting

• Building models toidentifymoney laundering patterns across massive transaction databases

• Predicting operational losses using statistical and machine learning modeling ​

What you will experience:

• Spend your Intern Induction Week at an offsite location

• Structured and engaging onboarding experience

• Speaker series with Wells Fargo senior leaders

• Professional development opportunities

• Networking and engaging with peers

• On-the-job experiences contributing to strategic business goals

Program Dates:June -2026 (10 weeks40 hoursper week)

Charlotte, NC

Required Qualifications:

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

Desired Qualifications:

• pursuing aMastersdegree in Statistics, Data Science, Econometrics, Mathematics, Engineering, ComputerScienceor related quantitative field, with an expected graduation date after December 2026.

• Excellent programming skills in at least one of Python, R, SAS, SQL, Spark, Java, and C++ for data and statistical analysis applications

• Experience anddemonstratedfirst-hand knowledge in a number of these areas: data analysis, statistical modeling, machine learning/AI models, data management, and computing

• Excellent verbal, written, and interpersonal communication skills

• Strong analytical skills with high attention to detail and accuracy

• Intermediate Microsoft Office (Word, Excel, Outlook, and PowerPoint) skills

• Involvement in extracurricular enrichment activities through one or more of the following: volunteerism, student organization involvement, study abroad program(s), leadership position(s), non-profit involvement

• Energetic self-starter who proactively takes initiative, acts with urgency,remainscurious, and has a genuine interest in learning and growth