Quantitative Risk Manager, Decision Analytics & Insights

Location/Office Policy: Dublin, London, Northampton, Belfast (Hybrid - moving to 3 days in the office in January 2026)

This role is positioned within the Decision Analytics Team in Risk Analytics as a Quantitative Risk Manager.

Risk Analytics Overview

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 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.

This role is in the Decision Analytics and Insights Model Development Team in Risk Analytics. They are responsible for the quantitative modelling used for decision automation and the credit grading of standardised portfolios.

Key Accountabilities

• Leading the development of Grading models to support business decision making, risk management and estimation of regulatory capital requirements in line with internal development standards and policies. This includes but is not limited to: Application and Behavioural Scorecards, Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models;
• Managing the team involved in the development of Grading models, guiding them in the development of technical skills as well as core behavioural competencies;
• Engaging with stakeholders across the Business, Finance and Risk to ensure that models can facilitate business needs while meeting regulatory requirements and provide enhancements to the application of risk management within the Bank;
• Engaging with regulatory bodies and internal second and third line of defence assurance teams as part of the ongoing cycle of review of our models;
• Contributing to the development and refinement of standards, methodologies and toolsets required to deliver these models and ensuring they are embedded within the development team;
• Contributing to the credit decisioning strategies which support the automation of Retail and non-Retail credit decisions throughout the credit lifecycle;
• Performing exploratory and ad-hoc data analysis to generate meaningful customer or portfolio insights;
• Extracting, transforming, and cleaning the data required for modelling and analysis purposes.

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.

What you will bring

• Minimum 5 years' experience in a 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;
• Strong understanding of the regulatory requirements relating to the development of grading models;
• Experience writing technical documents that meet internal and regulatory standards;
• Experience in engagement with regulatory or audit bodies;
• Experience training and managing the day-to-day tasks of junior team members;
• Strong ability to build relationships and communicate with key stakeholders in model development or validation activities;
• Curiosity and inventiveness;
• Good problem-solving skills with capability to defend their decisions from challenge both on a technical and business front.

Why Work for AIB

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

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

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.

• Develops and Empowers
• Collaborates
• Enterprise Leadership
• Risk Modelling & Scenario Analysis
• Technical Leadership
• Risk Technology & Tools

If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole, at careers@aib.ie for a conversation.

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. Should you have a reasonable accommodation request please email the Talent Acquisition team at careers@aib.ie.

Disclaimer: Unsolicited CVs 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.

Application deadline: 11th of January 2026