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2027 Quantitative Analytics Summer Internship Risk Analytics and Decision Sciences (Masters) – Early Careers

Wells Fargo & Company
Posted 20 hours ago, valid for 18 days
Location

Charlotte, NC, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Wells Fargo is offering a 10-week Quantitative Analytics Summer Internship for Masters candidates in 2027, located in Charlotte, NC.
  • The internship provides hands-on project experience, mentorship, and technical training while working on high-impact projects related to advanced analytics and machine learning.
  • Candidates must have at least 6 months of work experience or equivalent, and should be pursuing a Masters degree in a related quantitative field with an expected graduation after December 2027.
  • Desired qualifications include excellent programming skills in languages such as Python or R, as well as strong analytical and quantitative skills.
  • High-performing interns may be considered for full-time roles after graduation, with competitive compensation offered during the internship.

About this role: Wells Fargo is seeking talent to join the 2027 Quantitative Analytics Summer Internship RADS (Masters). Learn more about the career areas and lines of business at wellsfargojobs.com.  

 

Program Overview | The Wells Fargo Quantitative Analytics Internship Program offers Masters 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 internshipyou'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. High performing interns may receive consideration for full-time roles after graduation. #earlycareers 

 

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, and 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   

 

Program dates: June – August 2027  

Program Duration: 10 weeks 

Program Location: Charlotte, NC   

Required Qualifications:

  • 6+ months 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: 

  • Currently pursuing a Masters 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 

  • Experience and demonstrated first-hand knowledge in a number of these areas: data analysis, machine learning models, statistical modeling, data management, and computing. 

  • 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.   

 

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

 

Based on the volume of applications received, this job posting may be removed prior to the indicated close date. If you do not apply prior to the closing of this posting, we encourage you to apply for other opportunities with Wells Fargo. After submitting your application, please monitor your e-mail for future communications.

Posting End Date: 

20 Sep 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.




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