Senior Quantitative Risk Analyst

Dublin, Belfast, London, Northampton (Hybrid – 3 days per week in the office)

The role is part of the Stress Testing Models team within Risk Analytics as a Senior Quantitative Risk Analyst. The Stress Testing Models team is responsible for assessing the impact of credit and operational risk on the bank's balance sheet under a range of macroeconomic forecasts to support the ICAAP and quarterly stress tests.

In this role you will be primarily responsible for the Group Operational Risk ICAAP model including execution, monitoring and remediation activities. You will also support the continuous improvement of the Credit Stress Testing (CST) PD and LGD models and forecasting engine, and will play a lead role in any model redevelopment or remediation work as well as any projects to enhance the efficiency of the end‑to‑end CST process.

The Stress Testing Models team is a core part of the Risk Analytics function, which develops and supports the deployment of a broad range of risk models, strategies and decision tools used for regulatory capital, internal capital and business decision making.

For context, Risk Analytics is part of the Group Risk division, 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.

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• Development of risk models and strategies to support business decision making, estimation of regulatory and economic capital, estimation of expected credit loss for both best‑estimate and stress scenarios in line with internal development standards and policies. This includes but is not limited to: probability of default (PD), loss given default (LGD), exposure at default (EAD) models, loss distribution approach (LDA) and operational risk modelling.
  
• Performing exploratory and ad‑hoc data analysis to generate meaningful customer or portfolio insights.
  
• Contributing to the standards, methodologies and toolsets required to perform analytic activities.
  
• Design of model methodology and automation of model development processes.
  
• Extracting, transforming, and cleaning the data required for modelling and analysis purposes.
  
• Engaging with customer‑facing business teams to understand how our analytic outputs can support their decision making.
  

Credit and operational risk are dynamic, ever‑evolving fields; 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, you will receive support and training to help you reach your potential.

As a quantitative 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 a model monitoring, model development or model validation role. Examples include: stress testing or economic capital modelling, operational risk modelling, IRB, IFRS\,9; loss forecasting, 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 also 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 their decisions from challenge both on a technical and business front.
  
• Experience in regulatory reporting like COREP, EBA Stress test for operational risk will be advantageous.
  
• Business analysis experience desirable.
  
• Direct experience with operational risk modelling is advantageous.
  

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 their designated office, subject to their role, the needs of our customers and business requirements.

Some of our benefits include:

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• Market leading pension scheme
  
• Healthcare scheme
  
• Variable pay
  
• Employee assistance programme
  
• Family leave options
  
• Two volunteer days per year
  

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• Ensures accountability
  
• Collaborates
  
• Develops & empowers
  
• Data analysis
  
• Risk modelling & scenario analysis
  
• Statistical modelling
  

Unsolicited CV's sent to AIB by recruitment agencies will not be accepted for this position. AIB operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our recruitment partners.

AIB is an equal opportunities employer, and we pride ourselves on being the first bank in Ireland to receive the Investors in Diversity Gold Standard accreditation from the Irish Centre for Diversity. We are committed to providing reasonable accommodations for applicants and employees.

5 March 2026

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