Quantitative Analyst - Credit Model Validation.

AIB; Dublin; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Pension Scheme

Healthcare Scheme

Variable Pay

Employee Assistance Programme

Family leave

Volunteer days

Job summary

AIB is seeking a quantitative risk analyst to support independent validation of Pillar 1/2 and IFRS9 ECL models. You will use statistical techniques and data analytics to review, challenge, and provide independent opinions on model development.

Office-centric hybrid role in Dublin, with 3 days in the office; 1+ years' experience in analytics; SAS required; knowledge of SQL, R or Python beneficial; join a diverse team.

Qualifications

• Relevant third level or postgraduate analytical qualification.
• 1+ years’ experience in a quantitative analytics role, preferably credit risk.
• Knowledge of regulatory env (IRB/IFRS9) and EU implementation is a plus.
• Experience applying statistical tools to support data-driven decisions.
• Ability to challenge established thinking and articulate opinions.
• SAS is required; SQL, R or Python are advantageous.

Responsibilities

• Review and challenge bank models using statistical techniques and data analytics.
• Provide robust challenge to model development teams to ensure robustness and regulatory compliance.
• Deliver validation activities per CRR/EBA guidelines while taking ownership of work.
• Prioritise tasks to meet deadlines and adapt to a changing environment.
• Learn from team members and grow within the role.

Skills

Statistical analysis

Data analytics

Problem solving

Communication

Education

Analytical degree (3rd level)/postgraduate

Tools

SAS

SQL

R

Python

Job description

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: Office Centric Hybrid (3 days per week in office location) – Dublin

• Are you an analyst with over 1 years’ experience who is seeking to progress in their career?
• Do you want to be part of a diverse team of quantitative risk analysts?
• Are you interested in how Data & Analytics can be used to enhance and assurance the bank’s credit risk models?

What is the role?

Reporting to the Credit Model Validation management team in the Risk Assurance & Validation function, the role holder will be responsible for helping to provide independent and robust challenge of the modelling teams and business areas in the bank to assure and improve the Bank’s models. The risk models in scope are both Pillar 1 and Pillar 2, IFRS9 ECL models, and Economic capital and stress test methodologies in AIB Group to meet internal and external (generally regulatory) criteria.

The role requires an understanding of statistical techniques and data analytics tools to review and challenge the models being used within the Bank. You will participate in projects within the Model Validation function and work with team members to deliver projects and actively seek opportunities to learn from other team members and to grow within the role.

Key Accountabilities

• You will use statistical techniques and data analytics tools to review and challenge the models being used within the Bank.
• You will assist in providing robust challenge to the model development teams and business areas in the Bank, helping to form an independent opinion of the appropriateness of the models to ensure the models are robust and compliant with regulations and policies.
• Deliver assigned validation activities, per methodology and standards and European Banking Regulatory Guidelines (CRR, EBA Guidelines etc.), while also taking accountability for your work.
• Demonstrate an ability to prioritise tasks in order to meet deadlines.
• Demonstrate an ability to be flexible and adapt in a changing environment, while actively seeking opportunities to learn and grow within the role.

What You Will Bring

• Relevant third level qualification or post-graduate qualification in an analytical discipline, e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics, actuarial science;
• 1+ years’ experience in a quantitative analytics role (credit risk analytics experience is preferred);
• Knowledge of the regulatory and accounting environment as it applies to credit risk, including at least one of the following - IRB or IFRS9. Experience in the EU implementation of these rules is a distinct advantage;
• Experience in applying statistical tools and techniques in a practical setting to help the bank in ensuring models and data driven decisions are robust and can be relied upon;
• A natural inclination to challenge established ways of thinking and an ability to articulate your opinion;
• Good knowledge and professional experience of analytics languages. SAS is a requirement. SQL is an advantage. Knowledge of R or Python for statistical analysis is also be considered beneficial.

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

Key Capabilities

• Collaborates
• Ensures Accountability
• Eliminates Complexity
• Depth of Technical Knowledge
• Legal, Regulatory & Compliance
• Communication

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 [e-mail]

Application deadline : 1st September 2026