Automation & Platform Lead for Credit Risk Modeling

Us Bank

Minneapolis (MN)

On-site

USD 150,000 - 176,000

Full time

14 days+
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Benefits offered by this job

Healthcare
401(k) Plan
Paid vacation
Holiday opportunities
Parental leave

Job summary

U.S. Bank is seeking a strategic and technically skilled leader to drive automation in Credit Risk Model Operations and Strategy within the MDDS team.

The role focuses on enhancing model production, monitoring, implementation, and documentation while migrating from SAS to Azure Databricks and Python. The position emphasizes modular, scalable processes, reusable libraries, and collaboration with technology to select tools and platforms used in model operations, including risk and credit scorecard

Qualifications

  • Bachelor’s degree or higher; 8+ years in quantitative modeling or equivalent.
  • Experience leading a quantitative modeling team (4+ years).
  • Proven track record in automation, data pipelines, and risk modeling.

Responsibilities

  • Lead automation initiatives within MDDS and migrate from SAS to Azure Databricks and Python.
  • Design reusable code libraries and data pipelines for model dev, production, and monitoring.
  • Partner with technology to select and onboard tools for model operations.
  • Develop and maintain resilient, scalable model workflows and reporting.

Skills

Python programming
Databricks
Relational databases
SQL
Git
AI/ML

Education

Bachelor's degree
Advanced degree preferred

Tools

Databricks platform
Docker
Kubernetes
Apache Airflow
Git

Job description

U.S. Bank is seeking a strategic and technically skilled leader to drive automation in Credit Risk Model Operations and Strategy within the MDDS team.

The role focuses on enhancing model production, monitoring, implementation, and documentation while migrating from SAS to Azure Databricks and Python. The position emphasizes modular, scalable processes, reusable libraries, and collaboration with technology to select tools and platforms used in model operations, including risk and credit scorecard

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