Senior Quantitative Analyst, Model Data Team, Model Solutions

AIB (NI) Belfast, Northern Ireland, United Kingdom

This role is positioned within the Model Data Team in Risk Analytics as a Senior Quantitative Analyst.

In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, an independent second line of defence function that monitors, controls, and supports risk‑taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. The Risk Function's main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the board, supporting AIB's customer franchise and social responsibility.

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• Source, extract, and integrate large datasets from internal and external systems for use in credit risk models (e.g., PD, LGD, EAD) and stress‑testing frameworks. Ensure data quality through rigorous validation, cleansing, and reconciliation processes to ensure accuracy and reliability.
  
• Continuously review and update data models to reflect changes in Risk Analytics processes, new model solutions, and evolving business requirements. Recommend and implement process improvements to enhance the efficiency and reliability of data workflows.
  
• Proactively identify and accelerate data issues. Contribute to the continuous improvement of the bank's data.
  
• Operate as a data subject‑matter expert, collaborating with Model Development, Validation, and Monitoring teams; as well as IT and business stakeholders to align data solutions with strategic objectives. Ensure data requirements are clearly communicated and understood.
  
• Design and implement automated processes to streamline data preparation and reporting. Maintain comprehensive data documentation and lineage to support transparency and auditability.
  
• Clearly communicate data‑driven findings, risks, and recommendations to both technical and non‑technical stakeholders.
  

Credit risk is a dynamic, ever‑evolving field and working for Risk Analytics will place you at the vanguard of quantitative risk analysis, regularly implementing the latest published methodologies and creating bespoke in‑house solutions to challenging problems, as part of an experienced team where you will receive support and training to help you reach your potential. As an analyst working in Risk Analytics for a pillar bank in Ireland, your work will make a tangible impact on the stability and performance of AIB and the wider financial system.

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• 3 years’ experience in either a model development, validation or monitoring role; or in a data role with exposure to models. Examples include: IRB, IFRS9, loss forecasting, stress testing or economic capital modelling, propensity modelling, or a combination thereof.
  
• A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role).
  
• Ideally have advanced level of SAS or SQL programming – an equivalent level in an alternate programming language would be considered (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes.
  
• Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau.
  
• Strong ability to build relationships and communicate with key stakeholders; curiosity and inventiveness. Good problem‑solving skills with capability to defend decisions from challenge both on a technical and business front.
  

We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and our designated office, subject to their role, the needs of our customers and business requirements.

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• Market‑leading Pension Scheme
  
• Healthcare Scheme
  
• Variable Pay
  
• Employee Assistance Programme
  
• Family leave options
  
• Two volunteer days per year
  

Please click here for further information about AIB's PACT – Our Commitment to You.

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• Ensures Accountability
  
• Collaborates
  
• Develops & Empowers
  
• Data Analysis
  
• Risk Modelling & Scenario Analysis
  
• Statistical Modelling
  

Matthew Edwards for a conversation. If you require any support with the recruitment process, please contact the recruiter, Nicole Pasquetti.

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