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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on modernizing credit risk technology by building Python-based solutions for model implementation, production, and monitoring. Key technologies include Python, Git and migration from SAS infrastructure. Responsibilities cover developing and maintaining components, re-engineering production systems, code optimization, workflow automation, and collaboration with model and infrastructure teams. The role combines software development with data analytics and financial risk management.
from: 14 July 2026
to: 28 August 2026
salary not specifiedcontract of employment (full-time)
Salary details
basic salary
fixed bonus (e.g., quarterly, annual)
Offer parameters
level:mid • senior
working mode:hybrid
Warszawa, Mokotów
Requirements
Expected technologies
Python
SQL
Git
Optional technologies
SAS
Azure Databricks
Airflow
Bash
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.
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.
About the project
In this role, which is a part of Credit Data & Analytics team, 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.
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.
What we offer
- 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.
Benefits
- sharing the costs of sports activities
- private medical care
- life insurance
- remote work opportunities
- dental care
- no dress code
- coffee / tea
- extra social benefits
- holiday funds
- employee referral program
- extra leave
U.S.Bank | Elavon
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.
This is how we work
Python Developer – Credit Risk
I apply to:
U.S.Bank | Elavon
Warszawa, Mokotów
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