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 DescriptionAbout the Role
In this role, you will help modernize credit risk technology by building Python-based solutions that support model implementation, model production, and model monitoring. You will support re-engineering and migrating the credit risk modeling team’s existing technology infrastructure from SAS to Python, with a focus on accuracy, scalability, automation, and maintainability.
This role is well suited for someone who enjoys combining strong Python engineering skills with data-driven problem solving, and who wants to work at the intersection of software development, analytics, and financial risk management.
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.
Skills Required
- 3+ years of experience in software development, data analytics, or related roles
- Bachelor's Degree or higher in a quantitative/technical field (statistics, mathematics, computer science, data science, 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
- Work from a U.S. Bank location three (3) or more days per week
- 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
US Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Bank and has not been reviewed or approved by US Bank.
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Retirement Support — The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
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Leave & Time Off Breadth — Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
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Healthcare Strength — Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.
US Bank Insights
What We Do
We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.
