Intern- Quantitative Modeling Analyst

Intern - Quantitative Modeling Analyst

Summer 2026 Paid Internship

Mid May - Mid August

This internship is not eligible for relocation assistance. Local candidates preferred.

Zions Bancorporation's Internship and Banker Development Program positions are not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.

Did you know that Zions Bancorporation is one of the nation's premier financial services companies with total assets exceeding $90 billion? With local management teams at the helm in 11 western states, Zions is dedicated to making a difference in their local communities. At Zions, we haven't forgotten who keeps us in business, meaning we're committed to the success of our customers, and our employees. Here, the possibilities are endless - come for a job, stay for a career.

Zions has an excellent opportunity available for a Quantitative Modeling Analyst intern to join our Corporate Quantitative Analytics group responsible for model development.

Please create a cover letter listing your degree and describing your skills and experience. Key responsibilities for this position include the following:

• Assist in the design and development of statistical/machine learning models to support various initiatives utilizing predictive modeling
• Construct and clean datasets in preparation for analysis and use in building forecasting models
• Perform accuracy and quality checks to test model forecast results
• Write documentation that explains the process used in developing models
• Create summary reports that highlight forecasting methods and results
• Help prepare presentations for senior management

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Statistics, Math, Computer Science or a related field.
• Experience with one or more of the following statistical software tools: Python, SQL, R, SAS
• Knowledge of statistical and econometric modeling methods, as well as machine learning
• Understanding of accounting, financial statements, and banking products is a plus.
• Proficiency in working with large data sets is a plus.
• Experience with technologies such Google Cloud Platform, GPUs, and Git is a plus
• Excellent communication skills, both written and verbal
• Must be organized, detail-oriented, and able to meet deadlines.