Senior Quantitative Risk Validator – Credit Models

Allied Irish Banks; Dublin; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Variable Pay

Employee Assistance Programme

Family leave options

Job summary

Allied Irish Banks (AIB) is seeking an experienced analyst for its Risk Assurance & Validation function to independently challenge modelling teams and improve the bank’s credit risk models, including IFRS9 ECL, Pillar 1 and Pillar 2 and economic capital methodologies.

The role requires strong statistical skills and data analytics, with SAS as a must, and SQL as an advantage. You will lead validation projects and coach junior analysts, contributing to robust governance and regulatory compliance.

Qualifications

• Third level qualification in an analytical discipline (statistics, actuarial science, financial mathematics, econometrics).
• 3+ years’ experience in a quantitative analytics role (credit risk analytics preferred).
• Knowledge of regulatory and accounting environment for credit risk (IRB or IFRS9) in EU preferred.
• Experience applying statistical tools to credit risk modelling in banking to ensure robust data-driven decisions.

Responsibilities

• Lead validation activities per methodology and standards, with accountability for your work and that of analysts.
• Explain validation findings clearly to managers, identifying weaknesses or limitations in the model.
• Provide robust challenge to Model Development teams and form independent opinions on model adequacy.
• Support responses to queries from internal and external parties (GIA, CBI, JST) and manage multiple tasks.
• Demonstrate flexibility and ability to adapt in a changing environment.

Skills

Statistical analysis

Data analytics

Credit risk knowledge

Problem solving

Communication

Education

Analytical discipline degree (statistics, actuarial science, financial mathematics, econometrics)

Tools

SAS

SQL

Job description

Allied Irish Banks (AIB) is seeking an experienced analyst for its Risk Assurance & Validation function to independently challenge modelling teams and improve the bank’s credit risk models, including IFRS9 ECL, Pillar 1 and Pillar 2 and economic capital methodologies.

The role requires strong statistical skills and data analytics, with SAS as a must, and SQL as an advantage. You will lead validation projects and coach junior analysts, contributing to robust governance and regulatory compliance.