Senior Quantitative Risk Analyst, Risk Analytics

At AIB, our values guide how we work and how we support each other. We're looking for someone who puts Customer First, takes initiative and Owns the Outcome, and is always looking for ways to Eliminate Complexity. You'll treat colleagues and customers with fairness and Show Respect, and you'll thrive in a culture built on collaboration where we Be One Team to deliver meaningful impact.

Location/Office Policy:
Dublin, Belfast, London, Northampton - Hybrid (3 days in office, 2 days remote) Are you a problem solver, organised, proactive, pragmatic and an excellent team player? Are you seeking an opportunity to develop and grow your professional value in a dynamic Model Development Team? What is the role This role is positioned within the IFRS9 Team in Risk Analytics 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, this 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 Leading the development of macroeconomic models, or components thereof, for the estimation of credit risk parameters for use in the calculation of ECL.

This includes but is not limited to:
Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models. Engagement with stakeholders across the Bank to ensure the models appropriately capture the risk dynamics within the portfolio. Contributing to the standards, methodologies and toolsets required to perform analytic activities. Design of model methodology and automation of model development processes. The extraction and cleansing of data, statistical analysis to support model specification, segmentation, and factor selection, as well as the estimation and back-testing of models in support of same.

Engaging with customer facing Business teams to understand how our analytic outputs can support their decision making. 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. What you will bring 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. (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 consider (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes.

Familiarity with data visualisation tools such as Qlik View, 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. 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  for further information about AIB's PACT - Our Commitment to You. Capabilities:
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 Ensures Accountability Collaborates Develops & Empowers Data Analysis Risk Modelling & Scenario Analysis Statistical Modelling AIB is an equal opportunities…