Location/Office Policy:Dublin, London, Belfast, Northampton (Hybrid working) What is the Role: This role is positioned within the Decision Analytics and Insights Team, Risk Analytics. InRisk Analytics, we developand 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. This role is in theDecision Analytics and InsightsTeam in Risk Analytics. They are responsible for development of predictive models and credit strategies to determine customer risk profiles, which are then used to automate credit decisions for the Bank's customers. The team also provide management information to inform customer engagement strategies and track the performance of credit models to ensure they continue to operate as expected. Key accountabilities. stylemargin:top:0.0cm;margin:bottom:0.0cm typedisc: :Analysis and 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; :Digital protection:Access / utilise bank data within the policies and frameworks required by AIB; :Predictive model development:Take a leading role in building predictive models that are focussed on impact core business elements, such as automated decisioning, credit grading, 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. What you Will Bring. stylemargin:top:0.0cm;margin:bottom:0.0cm typedisc: :3 years' experience in a model development, model monitoring 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 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