INTERNSHIP DETAILS

2026 Intern Conversion - 2027 Quantitative Analytics Summer Internship Risk Analytics and Decision Sciences (PhD) – Early Careers

CompanyWells Fargo
LocationCharlotte
Work ModeOn Site
PostedAugust 8, 2026
Internship Information
Core Responsibilities
The intern will apply advanced analytics, artificial intelligence, and machine learning to complex financial business challenges. Responsibilities include developing credit scorecards, forecasting loss and revenue, and validating model designs.
Internship Type
full time
Company Size
241718
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with approximately $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through more than 7,300 locations, 12,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in over 40 countries and territories to support customers who conduct business in the global economy. With approximately 250,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 41 on Fortune’s 2022 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories. Relevant military experience is considered for veterans and transitioning service men and women. 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.© 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
About the Role

The Wells Fargo Quantitative Analytics Internship Program offers PhD candidates an opportunity to apply advanced analytics, artificial intelligence, and machine learning to complex business challenges at one of the world's leading financial institutions.  

  

This 10-week summer internship combines hands-on project experience, mentorship, technical training, and exposure to senior leaders. Through this 10-week internship you'll work alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo.  

  

You'll be expected to bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way, you'll develop not only your technical capabilities but also the business acumen and leadership skills needed to succeed in a highly collaborative environment.  
 
Bring your analytical mindset to a team that encourages innovation, collaboration, and continuous learning. You'll tackle real-world challenges, work with experienced professionals, and gain exposure to the people, tools, and technologies shaping the future of risk analytics and decision sciences. High performing interns may receive consideration for full-time roles after graduation. #earlycareers 

 

 

What You’ll Be Doing: 

You could work on high-impact projects like:  

 

  • Forecasting loss and revenue for credit card loan portfolios 

  • Developing credit scorecards for consumer decisioning strategies  

  • Building models to identify money laundering patterns across massive transaction databases   

  • Predicting operational losses using statistical and machine learning modeling  

  • Applying statistical and quantitative techniques to validate model design, calibration, implementation. 

 

What You’ll 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  


Required Qualifications:

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


Required Qualifications for Europe, Middle East & Africa only:

  • Work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education

Desired Qualifications: 

• Successful completion of 2026 Quantitative Analytics Internship Program 

• Currently pursuing a PhD degree in Statistics, Data Science, Mathematics, Econometrics, Computer Science, Engineering or related quantitative field, with an expected graduation date after December 2027.  
 
• Excellent programming skills in at least one of Python, R, SQL, Spark, Java for data and statistical analysis applications 
 
• Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions. 
 
• Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset. 
 
• Strong communication skills, with the ability to foster an inclusive environment and actively seek, apply, and respond to feedback in collaborative analytical settings. 
 
• Strong business acumen with a commitment to providing excellent service and supporting data-informed business outcomes. 
 
• Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment. 

 

Join us at Wells Fargo and become a part of a dynamic team that is shaping the future of the financial industry. Apply now and embark on a journey towards personal and professional growth in quantitative analytics.  #earlycareers 

 

Posting End Date: 

11 Aug 2026

*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.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

#DNP-IND
Key Skills
PythonRSQLSparkJavaData analysisStatistical modelingMachine learningGenerative AIRisk managementData visualizationSoftware engineeringQuantitative researchFinancial modelingBusiness acumen
Categories
Data & AnalyticsFinance & AccountingTechnologyScience & Research
Benefits
Professional development opportunitiesMentorshipTechnical trainingNetworking opportunities