Hybrid Credit Risk Automation Manager

Posted 52 minutes ago

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About the role

  • Credit Risk Automation Manager at U.S. Bank supporting AI and automation in credit processes. Leading transformation initiatives for modernizing credit risk operations and data systems.

Responsibilities

  • Lead end‑to‑end process re‑engineering to simplify, standardise, and automate Credit Risk activities.
  • Identify high‑value credit processes suitable for AI, machine learning, natural language tools, and automation.
  • Partner with Credit Risk SMEs to transform manual or legacy workflows into digital, data‑driven processes.
  • Support the design and implementation of modern credit data pipelines using tools such as Spark, Snowflake, and optimised relational databases.
  • Implement automated reconciliation solutions to ensure data accuracy and alignment with Finance, Regulatory Reporting, and upstream data sources.
  • Support CRM in improving Credit Risk reporting by using modern data platforms, AI‑enabled analytics, and standard data models.
  • Replace manual reporting with AI‑supported data preparation and reliable, scalable reporting pipelines.
  • Work closely with Risk teams, business areas, Technology, and Data Governance.
  • Review and streamline technology platforms across U.S. and European entities to bring credit data together.
  • Monitor progress across all transformation activities and flag any delivery risks when needed.

Requirements

  • Proven experience in Automation (8+ Years)
  • Transformation, Data Strategy, or Risk Management roles within a regulated environment.
  • Hands-on familiarity with modern data stack tools (e.g. Apache Spark, Snowflake, Python, SQL)
  • Analytics solutions (e.g., Tableau, Power BI, SAS)
  • AI technologies (machine learning, natural language processing, automation/agentic tools).
  • Understanding of data management disciplines: data quality, lineage, governance, metadata, and reporting architecture.
  • Demonstrated experience identifying or implementing AI-enabled capabilities.
  • Understanding of AI governance concepts (e.g. explainability, monitoring, fairness).
  • Experience in cross-functional environments, working effectively with Technology, Data, Risk, and Business teams.
  • Strong self-directed problem‑solving abilities.
  • Excellent written and verbal communication skills.
  • Highly organised, self-motivated, and able to manage competing priorities and complex project demands.

Benefits

  • Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
  • Performance-based incentives for eligible employees (as defined by relevant plan rules).
  • Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
  • Continuous development opportunities including training, education support, and career progression pathways.
  • Employee recognition programs that celebrate achievements and milestones for all.

Job title

Credit Risk Automation Manager

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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