Credit Risk Analytics Intern — Data-Driven Insights

Zions Bancorporation; Salt Lake City (UT); On-site; USD 2,755,000 - 3,444,000; Full time

Job summary

Zions Bancorporation in Salt Lake City, Utah, invites applications for the Credit Risk Analytics Intern within Corporate Credit Analytics. The program provides hands-on experience with data querying, modeling, and risk reporting, supporting executive management across the Bancorporation.

Interns will validate data, assist with KPI analysis, and contribute to dashboards. A bachelor’s degree pursuit in IS, data analytics, economics, statistics, CS, or finance is required.

Qualifications

• Pursuing 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.

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

Skills

R

Python

SAS

SQL

Data analysis

Communication

Education

Bachelor's degree or higher

Job description

Zions Bancorporation in Salt Lake City, Utah, invites applications for the Credit Risk Analytics Intern within Corporate Credit Analytics. The program provides hands-on experience with data querying, modeling, and risk reporting, supporting executive management across the Bancorporation.

Interns will validate data, assist with KPI analysis, and contribute to dashboards. A bachelor’s degree pursuit in IS, data analytics, economics, statistics, CS, or finance is required.