US Bank Quantitative Modelling Analyst Category Technology 

Poland 

569546594

U.S. Bank’s Credit Risk Administration (CRA) group is seeking

and xl quantitative analysts / data scientists

About the Role

In this role, you will develop, document, and execute processes to monitor the performance and stability of predictive models used in Credit Risk Management. You’ll also collaborate with model developers to support new model development initiatives.

Key Activities

• Develop and optimize code and processes for model performance monitoring and reporting.

• Analyze model metrics (e.g., accuracy, stability), identify issues, and recommend improvements.

• Conduct tests, interpret results, and present findings through reports and dashboards.

• Collaborate with development and implementation teams to align data and execution logic.

• Automate data capture, testing, documentation, and visualization workflows.

• Create documentation and playbooks to ensure process consistency and knowledge sharing.

• Support new model development projects in partnership with the model development team.

• Explore ML/AI techniques to enhance process efficiency.

Basic Qualifications

• 3 or more years of experience in a data analytics, software development, or related roles.

• Bachelor’s Degree or higher in a quantitative/technical field such as statistics, mathematics, computer science, data science, or engineering.

• Programming experience in Python (preferred) or similar statistical software (e.g. R, SAS)

• Proficiency in developing and optimizing SQL queries.

• Strong analytical, organizational, problem-solving, and project management skills.

• Effective interpersonal, verbal, and written communication skills.

Preferred Skills

• Experience in financial services, banking, and/or credit risk.

• Data visualization dashboard technologies such as Power BI.

• Experience with cloud-based tools and infrastructure (Azure or AWS).

• Familiarity with automation using scripting tools (e.g. Bash) and low-code platforms (Microsoft Power Automate / Power Apps).

• Experience with quantitative model development and/or validation.

• Exposure to machine learning concepts and their application in financial services.

• Understanding of version control systems like Git.

The role offers a hybrid / flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work remotely for the other days.