Credit Risk Modeling Python Developer
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What you'll do
- 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.
What they're looking for
- 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.
Nice to have
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
Your 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.
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 committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.
Total Rewards
U.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value.
We offer a market-competitive compensation package that includes:
Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.
Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
Employee recognition programs that celebrate achievements and milestones for all.
We regularly review our compensation and benefits to ensure they remain competitive, inclusive, and responsive to employee needs and market trends. Further details of the compensation package will be provided upon application.
We encourage candidates to explore the full value of our offer, including monetary and non-monetary benefits, at Employee benefits and development | U.S. Bank | Elavon.
Closing Date
Posting may be closed earlier due to high volume of applicants.
We aim to provide timely updates throughout the process and encourage early applications to ensure consideration.
Company
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