Intern- Quantitative Modeling Analyst

Zions Bancorporation; Salt Lake City (UT); On-site; USD 28,000 - 41,000; Part time

Job summary

Zions Bancorporation invites applicants for a Summer 2027 Paid Internship as a Quantitative Modeling Analyst intern to support the Corporate Quantitative Analytics group. The role focuses on model development, data preparation, and presenting results to senior management.

A strong foundation in statistics and ML is required. Basic qualifications include pursuing a Bachelor’s or Master’s degree in statistics, math, CS or related fields, with experience in Python/SQL/R/SAS and GCP/Git.

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 as 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.

Responsibilities

• 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.

Skills

Statistical knowledge

Machine learning

Communication skills

Deadline-oriented

Education

Bachelor’s or Master’s degree in Statistics, Math, Computer Science or related field

Tools

Python

SQL

R

SAS

Google Cloud Platform

Git

GPUs

Job description

Mid May – Mid August

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.

Intern - Quantitative Modeling Analyst

Summer 2027 Paid Internship

Mid May – Mid August

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.