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

This10-week summer internshipcombines hands-on project experience, mentorship, technical training, and exposure to senior leaders. Throughthis 10-week internshipyou'llwork alongside experienced quantitative professionals, helping develop and evaluate innovative solutions that support business strategy, risk management, and customer experience across Wells Fargo.

You'llbeexpectedto bring fresh perspectives, explore innovative approaches, and contribute to solutions that support Wells Fargo's strategic priorities. Along the way,you'lldevelop 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 toidentifymoney laundering patterns across massive transaction databases

• Predicting operational losses using statistical and machine learning modeling

• Applying statistical and quantitative techniques tovalidatemodel design, calibration, and implementation.

WhatYou'llExperience:

• 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 - August2027

Program Duration:10 weeks

Program Location:Charlotte, NC

Desired Qualifications:

• Currently pursuing aMastersdegree inStatistics, Data Science, Mathematics,Econometrics,Computer Science,Engineeringor 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 anddemonstratedfirst-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 communicationskills, with the ability to foster an inclusive environment and activelyseek, 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 futurein order toretaintheir 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 thisposting, we encourage you to apply for other opportunities with Wells Fargo. Aftersubmittingyour application, pleasemonitoryour e-mail for future communications.