2027 Quantitative Analytics Program Intern

About this role:

Wells Fargo is seeking a Quantitative Analytics Program Intern for 2027 campus program. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow.

In this role, you will:

• Participate in formal internship program and workshops for low complexity initiatives within Internship Program
• Attend classroom training, self-study assignments, workshops, networking, and other events
• Review basic or tactical issues, policies or procedures for which answers can be quickly obtained related to low-risk tasks and deliverables with narrower impact
• Receive direction from supervisor and exercise judgment within defined parameters while developing understanding of the function, policies, procedures, and compliance requirements
• Provide information to managers, functional colleagues, and stakeholders, including internal or external customers if applicable

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:

• Bachelor's/Master's degree in Engineering, Statistics, Applied or Computational Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, or related quantitative field or a related quantitative field with an expected graduation between March 2028 August 2028
• Summer Internship timeline between May 2027 to August 2027
• Excellent computer programing skills and use of statistical software packages such as Python, R, SAS, SQL, Spark, Java, C/C#/C++ and Big Data platforms.
• Good spoken and written English skills to effectively communicate technical concepts
• Strong logical, analytical skills and a systematic problem-solving approach