Python Engineer: Credit Risk Modeling & Production

U.S. Bank; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Career development opportunities

Education support

Competitive compensation

Job summary

U.S. Bank is seeking a Python developer to contribute to major projects, building production-grade Python components for the credit risk model lifecycle and supporting the migration from SAS to Python.

You will collaborate with quantitative model developers to implement model logic, ensure accuracy, and integrate into production systems. The role emphasizes robust version control, automated workflows, and adherence to software development best practices, with close ties to risk and

Qualifications

• 3+ years of experience in software development, data analytics, or related roles, preferably in financial services, banking, and/or credit risk.
• Bachelor’s Degree or higher in a quantitative/technical field such as statistics, mathematics, computer science, data science, or engineering.
• Strong proficiency in Python and experience building production-grade applications.
• Proficiency in Git or similar version control tools.
• Strong problem-solving skills and ability to work in cross-functional teams.
• Optional Experience with SAS.
• Experience with quantitative model development and/or validation.
• Familiarity with software engineering principles, including design patterns, testing, and CI/CD.
• Experience with cloud-based tools and infrastructure (Azure Databricks preferred).
• Familiarity with automation and orchestration tools (Airflow, Bash scripting).
• Solid understanding of SQL and relational databases.
• Understanding performance optimization for large-scale data processing.

Responsibilities

• Develop and maintain Python-based components for the credit risk model lifecycle.
• Re-engineering a model production engine and supporting code from SAS to Python, ensuring accuracy and consistency.
• Key areas of impact will include model implementation, production and monitoring.
• Collaborate with quantitative model developers to implement model logic and integrate it into production systems.
• Optimize code for efficiency, scalability, and compliance with internal standards.
• Design and implement automated workflows for data processing, testing, and deployment.
• Ensure robust version control, documentation, and adherence to software development best practices.
• Work closely with infrastructure and risk teams to support smooth implementation and delivery.
• Support Model Operations as needed.

Skills

Python

Git

Cross-functional collaboration

Data analytics

CI/CD

SQL

Bash scripting

Airflow

Azure Databricks

SAS

Education

Bachelor’s degree in a quantitative/technical field

Tools

Git

Airflow

Azure Databricks

SAS

CI/CD

Bash scripting

Job description

U.S. Bank is seeking a Python developer to contribute to major projects, building production-grade Python components for the credit risk model lifecycle and supporting the migration from SAS to Python.

You will collaborate with quantitative model developers to implement model logic, ensure accuracy, and integrate into production systems. The role emphasizes robust version control, automated workflows, and adherence to software development best practices, with close ties to risk and