Intern - Credit Risk Analytics Summer 2027 Paid Internship 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. Corporate Credit Analytics provides a breadth of credit reporting and analytics to Executive Management across the entire Bancorporation. The analytics help support and drive risk mitigation strategies and policy changes. Many of the analytics projects are extremely fast paced and require a broad use of tools to query, analyze, and summarize information quickly. We are seeking a Credit Risk Analytics Intern to join our Corporate Credit Analytics team.

Responsibilities :

Query and validate data from various sources Assist with modeling and analyzing portfolio's Key Risk Indicators Certify that correct data summaries are being presented in reports and dashboards Identify attributes that contribute to defaults and losses Please submit a cover letter listing your degree and describing your skills and experience using statistical modeling software tools such as R, Python, or other statistical software programs.

Qualifications:

Currently pursuing a bachelor's degree or higher in Information Systems, Data Analytics, Economics, Statistics, Computer Science, Finance, or a related degree Experience with a statistical programming language such as R, Python, SAS, etc. Basic understanding of Structured Query Language (SQL) Interest in portfolio risk management, economics, and/or statistical analysis Good communication skills, both verbal and written Detail oriented with strong analytical, organizational, and problem-solving skills Ability to make sound decisions and be inquisitive - willing to ask questions and make recommendations Working knowledge of computer software programs including spreadsheets, word processing, etc.