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

Wells Fargo

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

full-timePosted: Aug 21, 2026Updated: Sep 3, 2026NC, CHARLOTTE

Job Description

About this role: Wells Fargo is seeking talent to join the 2027 Quantitative Analytics Summer Internship Program RADS (PhD). Learn more about the career areas and lines of business at wellsfargojobs.com. Program Overview | 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 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:2+ years of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educationRequired Qualifications for Europe, Middle East & Africa only:Work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, educationDesired Qualifications 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. 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 to retain 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 OpportunityWells 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 DisabilitiesTo 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.

Locations

  • NC, CHARLOTTE

Required Qualifications

  • 2+ years of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (experience, 2 years)
  • Work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, education (experience)
  • 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. (degree in statistics)
  • 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. (degree in statistics)
  • Excellent programming skills in at least one of Python, R, SQL, Spark, Java for data and statistical analysis applications (experience)
  • Excellent programming skills in at least one of Python, R, SQL, Spark, Java for data and statistical analysis applications (experience)
  • 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. (experience)
  • 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. (experience)
  • 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. (experience)
  • 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. (experience)
  • Strong communication skills, with the ability to foster an inclusive environment and actively seek, apply, and respond to feedback in collaborative analytical settings. (experience)
  • Strong communication skills, with the ability to foster an inclusive environment and actively seek, apply, and respond to feedback in collaborative analytical settings. (experience)
  • Strong business acumen with a commitment to providing excellent service and supporting data-informed business outcomes. (experience)
  • Strong business acumen with a commitment to providing excellent service and supporting data-informed business outcomes. (experience)
  • Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment. (experience)
  • Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment. (experience)
  • 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. (experience)
  • 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. (experience)
  • a. Third-Party recordings are prohibited unless authorized by Wells Fargo. (experience)
  • b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. (experience)

Responsibilities

  • Spend your Intern Induction Week at an offsite location
  • Spend your Intern Induction Week at an offsite location
  • Structured and engaging onboarding experience
  • Structured and engaging onboarding experience
  • Speaker series with Wells Fargo senior leaders
  • Speaker series with Wells Fargo senior leaders
  • Professional development opportunities
  • Professional development opportunities
  • Networking and engaging with peers
  • Networking and engaging with peers
  • On-the-job experiences contributing to strategic business goals
  • On-the-job experiences contributing to strategic business goals
  • Program dates: June – August 2027
  • Program Duration: 10 weeks
  • Program Location: Charlotte, NC

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