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Credit Risk Automation & Enablement Manager

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U.S. Bank National Association

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Location:
Ireland; Spain , Loughlinstown ▼

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Category:
IT - Administration

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

U.S. Bank Europe’s Credit Risk Management (CRM) team is seeking a Credit Risk Automation & Enablement Manager to support the evolution of the Bank’s credit risk processes and credit data systems. This role is central to modernising how Credit Risk operates - driving scalable operating models, enabling AI and automation use cases, improving the quality and accessibility of credit data, and supporting broader Risk transformation initiatives. A significant emphasis will be placed on AI‑driven process simplification, automated analytics, and modern data engineering practices to reduce manual effort, enhance reporting accuracy, and accelerate decision‑making across the credit lifecycle. This role is critical to building the CRM function of the future - one that is digital-first, data-driven, automation-enabled, and fully aligned with the enterprise-wide data and AI strategy. Success in this role will materially improve CRM’s operating efficiency, data integrity, analytical capability, and ability to scale support of U.S. Bank Europe’s growth agenda.

Job Responsibility:

  • Establish and manage end‑to‑end process re-engineering initiatives to simplify, standardise, and automate Credit Risk activities across functions
  • Identify high‑value credit processes that can benefit from AI, machine learning, natural language tools, and agentic automation pipelines - and manage the end-to-end design, testing, and rollout of these solutions
  • Partner with Credit Risk SMEs to redesign manual or legacy workflows into digitally orchestrated, data-driven processes, reducing cycle time, error rates, and operational burden
  • Support the design and implementation of modern credit data pipelines using data stack technologies (e.g. Apache Spark, Snowflake, relational database optimisation)
  • Implement automated reconciliation solutions to validate data accuracy and ensure alignment with Finance, Regulatory Reporting, and upstream data sources
  • Support CRM in the transformation of Credit Risk reporting by leveraging modern data platforms, AI-enhanced analytics, and standardised data models to deliver accurate, timely, and scalable insights
  • Replace traditional manual reporting processes with AI-assisted data preparation and scalable pipeline-driven reporting
  • Work closely with other Risk teams, business lines, Technology, and Data Governance functions across the enterprise to improve data quality, lineage, and completeness across Credit Risk systems and reporting layers
  • Evaluate and rationalise technology stacks across U.S. and European entities to consolidate credit data sources and enhance interoperability for risk modelling, portfolio monitoring, and reporting
  • Support the design, implementation, and maintenance of a CRM transformation plan, ensuring alignment with business growth strategies, regulatory expectations, and broader Risk transformation priorities
  • Track execution progress across transformation workstreams and escalate delivery risks where needed

Requirements:

  • Proven experience in Automation, 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), and 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, such as automated document interpretation, workflow orchestration, or decision-support tools
  • Understanding of AI governance concepts (e.g. explainability, monitoring, fairness) to ensure responsible deployment in Credit Risk
  • Experience in cross-functional environments, working effectively with Technology, Data, Risk, and Business teams
  • Strong self-directed problem‑solving abilities, able to structure ambiguous problems and develop pragmatic transformation solutions
  • Excellent written and verbal communication skills, capable of translating technical concepts for non-technical stakeholders
  • Highly organised, self-motivated, and able to manage competing priorities and complex project demands
What we offer:
  • Clearly defined salary ranges aligned with industry benchmarks and internal equity standards
  • Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance
  • 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 based on inclusive and transparent criteria
  • Employee recognition programs that celebrate achievements and milestones for all

Additional Information:

Job Posted:
February 20, 2026

Expiration:
March 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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