Quantitative Risk Analyst, Decision Analytics

Location: Dublin, Belfast, London, North, IE, IE

Company: Allied Irish Bank

Location/Office Policy: Dublin, London, Belfast, Northampton (Hybrid Working - moving to 3 days in office from January 2026)

What is the Role

This role is positioned within the Decision Analytics & Insights Team in Risk Analytics as a Quantitative Risk Analyst.

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.

Key Accountabilities

- Analysis and Investigation: Undertake 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.

- Model Monitoring: Develop and maintain robust, efficient and resilient monitoring procedures, using statistical software, to track credit risk model performance. Communicate evidence‑based findings to stakeholders.

- Data insights: Perform in exploratory and ad‑hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business.

- 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.

What You Will Bring

- 1.5+ years' direct experience in a quantitative risk or similar discipline is preferred

- Demonstrable experience with SAS or SQL programming – experience in an alternative programming language would be considered (e.g. R, Python, Matlab).

- Demonstrable problem‑solving skills with capability to defend your decisions from challenge.

- A bachelor’s degree in a quantitative analytical discipline e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role).

- Ability to perform exploratory and ad‑hoc data analysis with a view to generating insights.

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.

Please click here for further information about AIB’s PACT – Our Commitment to You.

Some of our benefits include;

- Variable Pay

- Employee Assistance Programme

- Family leave options

Key Capabilities

- Ensures Accountability

- Eliminates Complexity

- Data Analysis

If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the recruiter for this role, Sophie Doherty, at 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 CV’s 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.

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