Credit Risk Data Lead: SQL/Python Modernization

U.S. Bank

Warszawa

Hybrid

PLN 250,000 - 380,000

Full time

14 days+
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Benefits offered by this job

Market-competitive salary
Performance-based incentives
Inclusive benefits (health, retirement
Training & career progression

Job summary

U.S. Bank’s Elavon Credit Risk Data Strategy team is seeking a Data Lead with strong SQL and Python skills to modernize data platforms from SAS to Databricks in a cloud-first environment. You will provide technical leadership, own data products, and ensure governance across production data processes.

The role requires collaboration with Technology, Enterprise Data Office, and business stakeholders, with a focus on production data preparation, data quality, and scalable data systems.

Qualifications

  • Bachelor's degree or equivalent experience in a related field.
  • 8+ years in data, analytics, reporting, or technology-related roles.
  • Experience leading projects or small teams and coordinating across stakeholders.
  • Strong SQL and Python; production-ready code with testing, documentation, and Git-based version control.

Responsibilities

  • Partner with stakeholders to support Credit Risk data product initiatives for reporting, forecasting, modeling, and regulatory needs.
  • Develop portfolio and cross-portfolio Credit Risk Data Products with trusted, governed data.
  • Design, develop, and maintain scalable data solutions using SQL, Python, Databricks, and modern data tech.
  • Onboard source-system data and define data requirements for future-state architectures.
  • Develop data transformation, validation, reconciliation, and automation to improve quality and efficiency.

Skills

SQL
Python
Data architecture
Git & version control
Production-ready code

Education

Bachelor's degree in Information Systems / CS / Math / Stats / Eng

Tools

Databricks
Snowflake
Azure
AWS

Job description

U.S. Bank’s Elavon Credit Risk Data Strategy team is seeking a Data Lead with strong SQL and Python skills to modernize data platforms from SAS to Databricks in a cloud-first environment. You will provide technical leadership, own data products, and ensure governance across production data processes.

The role requires collaboration with Technology, Enterprise Data Office, and business stakeholders, with a focus on production data preparation, data quality, and scalable data systems.

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