Hybrid Quant Risk Analyst: Data & Modeling

AIB; Dublin; Hybrid; EUR 60,000 - 100,000; Full time

Benefits offered by this job

Variable Pay

Employee Assistance Programme

Family leave options

Job summary

AIB in Ireland is seeking a Quantitative Risk Analyst to join Risk Analytics. You will develop and support risk models for regulatory and internal capital, including IRB, IFRS9, and credit decisioning models.

The role sits in Risk Analytics, a second line of defence unit that provides oversight and data governance. 1.5+ years in quantitative risk and SAS/SQL programming are preferred; a quantitative degree is required. Hybrid work: 3 days in office, 2 at home.

Qualifications

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

Responsibilities

• Conduct quantitative analyses, data investigations, and model-based assessments to support better management of credit risk, portfolio performance, and business decision-making across the bank.
• Access, handle, and analyse bank data in line with AIB’s data governance standards, ensuring compliance with all security, privacy, and control frameworks, including when using coding tools to extract or prepare data.
• Contribute to the development, enhancement, and testing of predictive models, such as capital, impairment, and credit decisioning models, ensuring they are robust, explainable, and aligned to regulatory expectations.
• Perform exploratory and ad-hoc data analysis to uncover trends, identify emerging risks, and generate insights that translate into clear, actionable recommendations for business partners.
• Develop risk segmentations and analytical profiles of customer and portfolio behaviour to help the business understand underlying risk drivers and to support more effective risk management strategies.

Skills

SAS/SQL

Data analysis

Problem solving

Education

Bachelor's degree in a quantitative discipline

Tools

R/Python/ Matlab

Job description

AIB in Ireland is seeking a Quantitative Risk Analyst to join Risk Analytics. You will develop and support risk models for regulatory and internal capital, including IRB, IFRS9, and credit decisioning models.

The role sits in Risk Analytics, a second line of defence unit that provides oversight and data governance. 1.5+ years in quantitative risk and SAS/SQL programming are preferred; a quantitative degree is required. Hybrid work: 3 days in office, 2 at home.