Credit Risk Model Operations & Automation Analyst

US Bank; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

U.S. Bank is seeking an Operational Analyst to support production deployment, monitoring, and maintenance of credit risk models used for loss forecasting and stress testing.

This role works with model development, technology, and business partners to drive automation, data-driven solutions, and improved operational processes across production environments. The ideal candidate has strong analytical and technical skills, experience in SAS and Python, and the ability to communicate complex concepts

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years of analytics or model operations experience.
• Proficiency in SAS for data manipulation and reporting.
• Proficiency in Python for data analysis and automation.
• Experience with large datasets and relational databases.

Responsibilities

• Support production deployment of credit risk models, including testing and deployment.
• Run recurring model production tasks and deliver outputs and reports on time.
• Monitor model performance, stability and operational health.
• Investigate production issues and implement corrective actions.
• Develop SAS and Python programs for model execution, monitoring, and automation.
• Perform data quality checks on model inputs and outputs.
• Produce monitoring reports, dashboards, and governance documentation.
• Collaborate with model developers, data teams, and tech partners.
• Identify opportunities to streamline processes and reduce risk.
• Maintain documentation and controls for regulatory and audit compliance.

Skills

SAS

Python

Analytical skills

Education

Bachelor's degree in Statistics/Mathematics/Economics/Finance/CS/Data Science

Tools

SQL

Databricks

Power BI

Tableau

Job description

U.S. Bank is seeking an Operational Analyst to support production deployment, monitoring, and maintenance of credit risk models used for loss forecasting and stress testing.

This role works with model development, technology, and business partners to drive automation, data-driven solutions, and improved operational processes across production environments. The ideal candidate has strong analytical and technical skills, experience in SAS and Python, and the ability to communicate complex concepts