Zions Bancorporation's Corporate Quantitative Analytics team is seeking a Quantitative Modeling Analyst to develop models used across the bank in multiple processes including Capital Planning, Current Expected Credit Loss (CECL), Asset Liability, and more. The results from these models help the bank manage risks, contribute to public financial statements, and have Executive and Board level visibility. The team focuses on creating business value through predictive analytics.
Requirements
- Knowledge of financial/statistical programing, such as Python, R, SAS, etc.
- Experience with SQL and working with large data sets.
- Extensive knowledge of statistical analysis practices, principles, applications, and modeling methods.
- Strong analytical skills and the ability to develop financial models.
- Applicable internships or work experience in financial model development a plus.
Responsibilities
- Design, test, and validate credit loss models used in various processes and procedures across the bank.
- Perform modeling, data analytics and programming in Python, R, SAS, and SQL.
- Be responsible for developing and running forecast models.
- Analyze inputs to the model and help interpret the results.
- Assist in building presentation to communicate key model drivers and findings.
- Collaborate with subject matter experts to capture all relevant risk driver in models.
- Build tools to assist in model development and implementation.
Other
- Bachelor’s Degree required, in math, statistics, financial engineering, econometrics, or related field.
- Solid written and verbal communication skills and the ability to prepare oral and written reports.
- Ability to work in a deadline-oriented environment.
- Ability to work individually and as part of a team.
- Must be organized, detail-oriented, and able to multi-task.
