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.
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