Senior Quantitative Risk Analyst - IRB

Location/Office Policy:  Molesworth Street, Dublin with Hybrid Working

What is the Role:

This role is positioned within the IRB (Internal Rating Based Approach) Model Development Team in Risk Analytics.

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.  

The IRB Model Development Team 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. These models are used to determine the level of risk associated with individual borrowers and drive the determination of the Bank’s regulatory capital requirements. The team is currently undertaking a multi-year redevelopment of all IRB models followed by the rollout of new IRB models, which represents a key strategic objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office.  

Key accountabilities.

• Analysis & 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.
• Predictive model development: Take a leading role in building predictive models that are focussed on 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.
• 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.
• Digital protection: Access / utilise bank data within the policies and frameworks required by AIB.

What you Will Bring;

1. Minimum 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.
2. 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.).
3. 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.
4. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau.
5. 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 click here for further information about AIB’s PACT – Our Commitment to You.

Key Capabilities

• Ensures Accountability - Holding self and others accountable to meet commitments.
• Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
• Develops Talent - Developing people to meet both their career goals and the organization’s goals.
• Data Analysis - Collects, analyses, and interprets data to reach conclusions and/or present insights and findings.
• Financial/Credit Modelling - Develops financial or statistical models to test hypotheses and understand the potential impacts of risk under various scenarios.
• Numerical Competence - Demonstrates knowledge of mathematics principles (e.g., statistical analysis and modelling) to complete work and solve problems.

If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Conor Kearney on the Talent Acquisition Team 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:  16th January 2025