1 month ago
Warsaw, PolandSenior
Responsibilities
- Partner with Data Strategy, business, Enterprise Data Office, and Technology teams on Credit Risk data modernization and data product initiatives.
- Develop and maintain trusted, governed, scalable Credit Risk data products and solutions.
- Design, develop, test, and maintain data transformations, pipelines, validation routines, reconciliation processes, and automation using SQL, Python, Databricks, and related technologies.
- Onboard source-system data, document requirements, and support future-state Credit Risk data architectures.
- Migrate legacy SAS-based and SQL-based processes to Python, SQL, and cloud-based platforms.
- Perform data analysis, profiling, research, troubleshooting, root-cause analysis, and remediation across large datasets.
- Support data governance through data quality, lineage, controls, testing, and documentation.
- Create technical documentation, process flows, playbooks, and training materials.
- Identify opportunities to use automation, AI, and machine learning to improve data quality and decision-making.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent work experience.
- 6+ years of experience in data engineering, data science, data analytics, or related technology roles.
- Strong hands-on SQL and Python programming skills.
- Experience with large-scale datasets, data transformations, pipelines, validation routines, and reconciliation processes.
- Experience with Databricks, Snowflake, Azure, AWS, or another cloud-based data platform.
- Experience supporting data modernization, migration, cloud transformation, or data platform implementation initiatives.
- Familiarity with data architecture, database design, data modeling, and data management concepts.
- Strong analytical, problem-solving, troubleshooting, communication, and collaboration skills.
- Ability to translate business and data requirements into maintainable technical solutions.
- Preferred experience includes Credit Risk, regulatory reporting, banking, financial services, data quality, controls, testing frameworks, reusable Python frameworks, automation, data pipelines, Git-based version control, deployment processes, Jira, Azure DevOps, Power BI, and SAS migration.
Benefits
- Market-competitive compensation with performance-based incentives for eligible employees; specific compensation details are provided during the application process.
- Inclusive benefits focused on financial wellbeing and health and wellness.
- Training, education support, continuous development, and career progression opportunities.
- Employee recognition programs.
- The role requires working from a U.S. Bank location three or more days per week.
About U.S. Bank
U.S. Bank is a public commercial bank offering consumer banking, commercial and institutional banking, payments, wealth management, and custody services to individuals and businesses. It earns revenue from interest on loans and securities and from fees across payments, asset management, and treasury services; it is the fifth-largest U.S. commercial bank, headquartered in Minneapolis, and trades on the NYSE as U.S. Bancorp (USB).