Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton in Lisburn

This role is positioned within the Risk Analytics Team as a Senior Quantitative Risk 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, which is 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, in support of AIB's customer franchise and social responsibility.

Key accountabilities:

• Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank.
• Predictive model development: Take a leading role in building predictive models that are focused on core business elements, such as automated decisioning, capital requirements and loss expectations.
• Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business.
• Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements.
• Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks.
• Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members.
• Digital protection: Access/utilise bank data within the policies and frameworks required by AIB.

What you will bring:

• Minimum 3 years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; 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.
• 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.
• Experience writing technical documents that meet internal and regulatory standards.
• Experience in engagement with regulatory or audit bodies.
• 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.

What We Offer: 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:

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

As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage.

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

Application deadline: 1st April 2026. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.