Credit Risk Automation Manager – U.S. Bank (Europe)
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.
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:
Hybrid/flexible schedule – in‑office expectation of 3 or more days per week.
12‑month fixed‑term contract.
Not eligible for visa sponsorship.
Accessibility support available – please contact the recruiter if adjustments are needed.
Total Rewards
Market‑competitive salary, performance‑based incentives, and inclusive benefits.
Continuous development opportunities and comprehensive support for health & wellness.
Senior Manager, Risk Management – Carrier
Location: Hybrid / Dublin office
Job role: Lead risk management functions for Carrier’s global insurance programs, collaborate with multiple corporate departments, and manage relationships with insurers, brokers, and TPAs.
Deliver customer‑focused risk management processes: Asset Protection, Claims Management, Mergers & Acquisitions, Contract Reviews, Risk Financing/Insurance Program Management, Cost Forecasting.
Support global insurance programs and ensure compliance with local policies and regulatory insurance requirements.
Provide direction on insured and non‑insured liability and property risk exposures.
Manage brokers, insurers, and TPAs for assigned programs.
Update leadership on risk management projects and issues.
Requirements:
Bachelor’s degree in finance, business or related field.
10+ years’ experience in corporate risk management, commercial insurance, or insurance brokerage.
CIP (Chartered Insurance Professional) qualification or higher required.
Experience with large, complex property and casualty insurance programs preferred.
Experience with risk management information systems (RMIS) preferred.
Design and implement process improvements.
Solid understanding of commercial insurance lines.
Insurance broker experience preferred.
Highly organised with exceptional attention to detail.
Strong interpersonal skills and proactive attitude.
Benefits:
Competitive base salary, bonus, and vehicle or cash allowance.
25 days holiday plus bank holidays, company pension.
Hybrid office/remote work arrangement available.
Career progression opportunities.
Risk and Quantitative Analysis Manager – BlackRock (Dublin)
Role: Support BlackRock’s Enterprise Risk functions, including operational, technology, vendor, model and market risk, with a focus on Model Risk Management.
Assist with the implementation of the firm‑wide Model Risk Management Policy.
Support governance activities and panel work with the Enterprise Risk Committee.
Drive operational efficiency through process improvements or automation.
Promote model risk management activities and their compliance with policies and regulatory guidelines.
Prepare reports on Model risk for oversight committees.
Respond to model‑related inquiries from regulators or auditors.
Knowledge/Experience/Competencies:
Minimum 3 years’ experience in the financial industry.
Undergraduate or Master’s in Computer Science, Mathematics, Finance, or Engineering.
Excellent communication, negotiation and problem‑solving skills.
Ability to draft governance documents and committee materials.
Experience in quantitative model reviews, process improvements, change management, or project lifecycle management.
Strong interpersonal and organisational skills.
Programming experience in R, Python, and SQL.
Proven experience with M365 tools and platforms such as Power Automate, Power BI and Copilot Studio.
Benefits:
Retirement investment tools, education reimbursement, comprehensive health and wellness resources.
Flexible Time Off (FTO).
Hybrid work model – at least 4 days in the office per week, 1 day remote.
Equal Opportunity Employer Statements
All postings are BY OF OF Equal Opportunity/Affirmative Action Employers, and consideration is based on qualifications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age or any other protected class.
Application
Interested candidates should submit an application via the provided job posting links. Early applications are encouraged as posting may be closed earlier due to high volume.
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