Credit Risk Modeling Python Developer

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive.   We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One.   As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.   We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation. We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.

Job Description About the Role   In this role, you will contribute to major projects by developing and maintaining Python-based solutions for credit risk modeling. You’ll support the migration of a production engine from SAS to Python, ensuring accuracy and consistency throughout the process.   The ideal candidate has strong programming skills, enjoys solving technical challenges, and thrives in a collaborative environment where technology and risk management intersect.

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.  Our requirements   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.  This role requires working from a U.S. Bank location three (3) or more days per week.  Accessibility We are