Responsibilities
- Develop and maintain Python-based components for the credit risk model lifecycle.
- Re-engineer the model production engine and supporting code from SAS to Python while ensuring accuracy and consistency.
- Implement model logic and integrate it into production systems in collaboration with quantitative model developers.
- Support model implementation, production, monitoring, and Model Operations.
- Optimize code for efficiency, scalability, and compliance with internal standards.
- Design and implement automated workflows for data processing, testing, and deployment.
- Maintain version control, documentation, and software development best practices.
- Collaborate with infrastructure and risk teams to support implementation and delivery.
Requirements
- At least 3 years of experience in software development, data analytics, or related roles, preferably in financial services, banking, or credit risk.
- Bachelor’s degree or higher in a quantitative or 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.
- Preferred qualifications include SAS experience and experience with quantitative model development or validation.
- Preferred qualifications include familiarity with software engineering principles, design patterns, testing, CI/CD, cloud infrastructure, automation and orchestration tools, Bash scripting, SQL, relational databases, and large-scale data-processing performance optimization.
Benefits
- Market-competitive compensation with performance-based incentives for eligible employees; specific compensation details are provided upon application.
- Inclusive benefits focused on financial wellbeing and health and wellness.
- Continuous development opportunities, including training, education support, and career progression pathways.
- Employee recognition programs celebrating achievements and milestones.
- Hybrid work arrangement requiring work from a U.S. Bank location three or more days per week.
About U.S. Bank
At U.S. Bank, we help millions of clients achieve their goals with a balance of best-in-class technology and human expertise tailored to individual needs. As the fifth-largest commercial bank in the United States, we’ve built a reputation for strength and stability across a diversified mix of businesses, including commercial and institutional banking, business banking, payments, wealth management and consumer banking. We’ve been named one of the World’s Most Ethical Companies® by the Ethisphere Institute and the most admired superregional bank by Fortune. In addition to thousands of branches serving consumers, U.S. Bank offers a complete suite of products, services and strategic partnerships for business. Within our Wealth, Corporate, Commercial and Institutional Banking division, we serve more than half a million clients across the country and around the world, ranging from wealthy individuals and families to the largest corporations, including 90% of Fortune 1000 companies. We’re also consistently recognized as a great place to work. We’re shaping our company culture with intention, focused on creating a workplace where it’s safe to speak up, share ideas and try new things. We’re proud to be recognized as a “Best for Vets” employer by the Military Times and included on Fair360’s (formerly DiversityInc.) list of Top 50 Companies for Diversity. U.S. Bank, NA. Member FDIC. Equal Housing Lender.