Credit Risk Data Lead: Modernization & Analytics

Us Bank

Warszawa

Hybrid

PLN 180,000 - 280,000

Full time

5 days ago
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Job summary

U.S. Bank is seeking a Data Lead for Credit Risk Data Strategy to drive modernization from SAS to SQL/Python on Databricks. You will coordinate with Technology, Enterprise Data Office, and business stakeholders to deliver scalable data solutions and governance.

The role focuses on production data products, data quality, and regulatory data processes, with a path to leadership in data preparation and maintenance.

Qualifications

  • Bachelor’s degree or equivalent in a related field.
  • 8+ years in data, analytics, reporting, or tech roles.
  • Experience leading projects or small teams.
  • Production‑ready code with testing and Git versioning.
  • Experience with Databricks, Snowflake, Azure or AWS.

Responsibilities

  • Partner with stakeholders to support Credit Risk data product initiatives.
  • Develop and maintain scalable data solutions using SQL, Python, Databricks.
  • Onboard source-system data and define data requirements.
  • Improve data transformation, validation, and automation processes.
  • Create reusable code frameworks and migration patterns.
  • Modernize SAS-based solutions to SQL/Python and Databricks.
  • Contribute to data governance, quality, and documentation.
  • Develop technical playbooks and training materials.
  • Explore automation and ML to improve data quality.

Skills

SQL
Python
Databricks
Data architecture
Leadership
Cloud platforms

Education

Bachelor’s degree in Information Systems, Computer Science, Mathematics, Statistics, Engineering, or related field

Tools

Git
CI/CD

Job description

U.S. Bank is seeking a Data Lead for Credit Risk Data Strategy to drive modernization from SAS to SQL/Python on Databricks. You will coordinate with Technology, Enterprise Data Office, and business stakeholders to deliver scalable data solutions and governance.

The role focuses on production data products, data quality, and regulatory data processes, with a path to leadership in data preparation and maintenance.

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