U.S. Bank Europe’s Credit Risk Management (CRM) team is seeking a Credit Risk Automation 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.
Key Accountabilities
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, and manage their design, testing, and rollout.
Partner with Credit Risk SMEs to transform manual or legacy workflows into digital, data‑driven processes, reducing cycle time, errors, and operational effort.
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 to deliver accurate, timely, and scalable insights.
Replace manual reporting with AI‑supported data preparation and reliable, scalable reporting pipelines.
Work closely with Risk teams, business areas, Technology, and Data Governance to improve data quality, tracking (lineage), and completeness across Credit Risk systems and reports.
Review and streamline technology platforms across U.S. and European entities to bring credit data together and improve consistency for risk models, portfolio monitoring, and reporting.
Support the design, delivery, and ongoing management of the CRM transformation plan, ensuring it aligns with business growth, regulatory requirements, and wider Risk transformation goals.
Monitor progress across all transformation activities and flag any delivery risks when needed.
Skills & Experience Required
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), 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.
Additional Information
The role offers a hybrid / flexible schedule with an in‑office expectation of 3 or more days per week and flexibility to work outside the office location for the remaining days.
This role is a 12‑month fixed‑term contract.
This position is not eligible for visa sponsorship.
Accessibility
We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.
Total Rewards
U.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value.
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 recognise both individual and company performance.
Inclusive equitable benefits accessible to all employees, focused around our three 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.
Closing Date
Posting may be closed earlier due to high volume of applicants. We aim to provide timely updates throughout the process and encourage early applications to ensure consideration.
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