Wells Fargo
2026 Quantitative Analytics Summer Internship Risk Analytics and Decision Scienc
Wells Fargo, Charlotte, North Carolina, United States, 28202
Quantitative Analytics Internship
Elevate your future career potential with Wells Fargo's Quantitative Analytics Internship! We are looking for talented individuals who are ready to dive into the fascinating world of quantitative analytics. This internship program offers a unique blend of technical skills, business acumen, and professional growth opportunities that will not only prepare you for a successful career at Wells Fargo but also equip you with the skills needed to thrive in the competitive financial industry. Jumpstart Your Career with a 10-Week Risk Analytics and Decision Science Internship at Wells Fargo. Ready to turn your classroom knowledge into real-world impact? Our 10-week internship program is your gateway to the dynamic world of financial modeling and risk strategy at Wells Fargo. You'll gain hands-on experience developing, implementing, calibrating, and validating quantitative models that power decision-making across our lines of business, operations, and products. Through a blend of mentorship, classroom-style training, and project-based learning, you'll dive into challenging, meaningful work that tackles real business problems. Expect a fast-paced, diverse environment where innovation is encouraged and your ideas matter. From cutting-edge modeling techniques to team-building activities, this internship is designed to grow your skills, expand your network, and prepare you for a full-time role. In fact, top performers may receive offers to join us full-time after graduation! You could 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 Implementing GenAI for optimized commercial banking underwriting Building models to identify money 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 - August, 2026 (10 weeks, 40 hours per week) 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 Desired Qualifications: Currently pursuing a Masters degree in Statistics, Data Science, Econometrics, Mathematics, Engineering, Computer Science or 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 and demonstrated first-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 Proven ability to work effectively, as well as independently, in a collaborative, change driven atmosphere Energetic self-starter who proactively takes initiative, acts with urgency, remains curious, and has a genuine interest in learning and growth 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
Elevate your future career potential with Wells Fargo's Quantitative Analytics Internship! We are looking for talented individuals who are ready to dive into the fascinating world of quantitative analytics. This internship program offers a unique blend of technical skills, business acumen, and professional growth opportunities that will not only prepare you for a successful career at Wells Fargo but also equip you with the skills needed to thrive in the competitive financial industry. Jumpstart Your Career with a 10-Week Risk Analytics and Decision Science Internship at Wells Fargo. Ready to turn your classroom knowledge into real-world impact? Our 10-week internship program is your gateway to the dynamic world of financial modeling and risk strategy at Wells Fargo. You'll gain hands-on experience developing, implementing, calibrating, and validating quantitative models that power decision-making across our lines of business, operations, and products. Through a blend of mentorship, classroom-style training, and project-based learning, you'll dive into challenging, meaningful work that tackles real business problems. Expect a fast-paced, diverse environment where innovation is encouraged and your ideas matter. From cutting-edge modeling techniques to team-building activities, this internship is designed to grow your skills, expand your network, and prepare you for a full-time role. In fact, top performers may receive offers to join us full-time after graduation! You could 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 Implementing GenAI for optimized commercial banking underwriting Building models to identify money 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 - August, 2026 (10 weeks, 40 hours per week) 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 Desired Qualifications: Currently pursuing a Masters degree in Statistics, Data Science, Econometrics, Mathematics, Engineering, Computer Science or 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 and demonstrated first-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 Proven ability to work effectively, as well as independently, in a collaborative, change driven atmosphere Energetic self-starter who proactively takes initiative, acts with urgency, remains curious, and has a genuine interest in learning and growth 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