The Risk Analytics Department is a central function within AIB with the remit to develop strong credit and financial risk measurement and decision-support throughout every aspect of our businesses and control functions. The outputs from Risk Analytics deliver optimal pricing for our customers, quick and convenient credit decisions, a safe lending and borrowing environment, and efficient use of our shareholders’ capital with sustainable returns. In addition, the teams regularly carry out ad-hoc analysis and assessments to support the business and any regulatory considerations of the ongoing appropriateness of the models and their outputs.

This role is on the model monitoring area of the Decision Analytics & Insights Team in Risk Analytics. They are responsible for tracking the performance of the Bank’s suite of credit models to ensure they continue to operate as expected and perform root cause analysis where potential deficiencies are identified.

We’re looking for someone who would be interested in:

• Monitoring of application, behavioural or macroeconomic models which support business decision making and estimation of expected credit loss in line with IFRS9, IRB or Stress Testing internal standards and policies. This includes but is not limited to: Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models;
• Contributing to the standards and methodologies required to monitor these models;
• Extracting, transforming, and cleaning the data required for model monitoring;
• Supporting analysis of reasons for deterioration in model performance in collaboration with other stakeholders;
• Utilising data visualisation tools to develop new model performance monitoring reports;
• Engaging with Model Development and Business areas on an ongoing basis to ensure all stakeholders are informed about the performance of live models;
• Engaging with regulatory bodies as part of the on-going cycle of regulatory review of our models.

The key accountabilities are as follows:

• 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;
• Model monitoring: Take a leading role in the monitoring of predictive models that are focussed on impact 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;
• Data visualisation: Creating data visualisation views that allow stakeholders to better understand the risks present in our lending portfolio and what we can do to better manage the risks on an ongoing basis;
• Digital protection: Access / utilise bank data within the policies and frameworks required by AIB;
• Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements;
• Leadership: Mentoring and guidance for junior data scientists. Also there will be responsibility for reviewing work carried out by junior team members.

Who are we?

We’re AIB. A strong Irish bank packed with purpose - to back our customers to achieve their dreams and ambitions. That goes for our employees too. We’re made of small teams where you have the chance to shine.

Why join us?

We are excited about how we have changed our focus. We want to be at the heart of our customers’ financial lives by giving them an exceptional experience. We are building a culture that breaks the conventions of what our customers and employees expect of a bank.

• 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 consider (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;
• Experience training and managing the day to day tasks of junior team members; Curiosity and inventiveness.
• Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front.