Integration and Automation Leader - Credit Risk Modeling

U.S. Bancorp
Minneapolis
Workplace: OnsiteFull timeUSD 149,515 - 175,900 annuallyFunction: Banking, Lending & CreditExperience: 8+ yearsEducation: bachelorsSkills: ["Leadership","Collaboration","Stakeholder engagement","Risk management","Continuous learning"]

Lead integration and automation initiatives for credit risk model operations within the Model Development and Decision Science organization. Partner with technology to redesign model lifecycle processes across implementation, production execution, monitoring, reporting, and documentation while migrating infrastructure from SAS to Azure Databricks and Python. Build reusable code libraries, robust data pipelines, containerized environments, and orchestration workflows to improve scalability, efficiency, and control.

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FursaFursa
U.S. Bancorp
U.S. Bancorp
4 days ago

Integration and Automation Leader - Credit Risk Modeling

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Lead integration and automation initiatives for credit risk model operations within the Model Development and Decision Science organization. Partner with technology to redesign model lifecycle processes across implementation, production execution, monitoring, reporting, and documentation while migrating infrastructure from SAS to Azure Databricks and Python. Build reusable code libraries, robust data pipelines, containerized environments, and orchestration workflows to improve scalability, efficiency, and control.
Location: Minneapolis
Workplace: Onsite
Employment Type: Full time
Job Function: Banking, Lending & Credit
Seniority: Manager level

Key Responsibilities

  • •Partner with technology to migrate model infrastructure from SAS to Azure Databricks and Python while improving efficiency and automation.
  • •Design and maintain reusable code libraries and frameworks for model development, implementation, production, and monitoring.
  • •Develop and manage automated data pipelines and containerized environments (Docker/Kubernetes) for scalable model operations.
  • •Implement orchestration workflows (Apache Airflow) to streamline model operations, reporting, and documentation.
  • •Lead evaluation, selection, onboarding, and lifecycle maintenance of third-party tools and platforms used by the team.

Pay and Benefits

Salary: USD 149,515 - 175,900 annually
Perks:Health InsuranceLife InsuranceLong-term Disability401kPaid LeavePaid HolidaysAdoption Assistance

Key Requirements

  • •Bachelor’s degree (MA/MS/PhD strongly preferred) and 8+ years of relevant experience.
  • •4+ years of experience leading a quantitative modeling team.
  • •Experience designing and implementing model development, production, monitoring, and implementation systems/processes.
  • •Proficiency in quantitative programming, including object-oriented Python and Databricks experience for model development/production/monitoring.
  • •Strong project management and organizational skills with experience in relational databases and SQL query optimization.
Experience:8+ yearsRegulated financial institutionsCredit risk modelingQuantitative modelingData scienceAI/ML
Education:Bachelor's
Skills:LeadershipCollaborationStakeholder engagementRisk managementContinuous learning
Tech Stack:SASAzure DatabricksPythonDockerKubernetesApache AirflowSQLGitMicrosoft CopilotMicrosoft Power PlatformAI/MLGenerative AI

Company Brief

U.S. Bancorp
U.S. Bancorp is the parent company of U.S. Bank, providing consumer, business, and institutional banking services including lending, payments, treasury management, wealth management, and merchant solutions across the United States.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Minneapolis, United States
Founded: 1863
Glassdoor
Glassdoor: 3.8
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