Description:
This role is in the IRB (Internal Rating Based Approach) Model Development Team. We are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank’s Pillar 1 capital PD, LGD and EAD models.
Key Accountabilities
- Predictive Model Development: Take a leading role in building predictive models that are focussed on impacting core business elements, such as automated decisions, capital requirements and loss expectations.
- Leadership: Manage a team of quantitative analysts, coaching them in the development of technical skills as well as demonstration of core behavioural competencies.
- Analysis & Investigation: Undertake and guide junior quantitative analysts 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.
- 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.
- Stakeholder Engagement: Work with stakeholders across the Business, Finance and Risk and act as a conduit for delivering solutions to business problems.
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
- At least 5 years’ experience encompassing model development/validation and decision support model relates roles. 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.
- 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.
- Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front.
A Reminder Of 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