Senior Quantitative Analyst, Model Data Team, Model Solutions

Allied Irish Banks; Belfast; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A banking institution is seeking a Senior Quantitative Analyst within the Risk Analytics team. The role involves sourcing and integrating datasets for risk models, updating data models for evolving business requirements, and communicating findings to stakeholders. Candidates should possess 3 years of relevant experience, a bachelor's degree in a quantitative field, and advanced skills in SAS or SQL programming. This position offers a hybrid working environment, emphasizing flexibility and work-life balance.

Benefits

Variable Pay

Employee Assistance Programme

Family leave options

Qualifications

• 3 years’ experience in model development, validation, or data roles.
• Familiarity with credit risk models like IRB, IFRS9, stress testing.
• Advanced data extraction and cleaning skills.

Responsibilities

• Source and integrate datasets for credit risk models and stress testing.
• Review and update data models to meet evolving business requirements.
• Communicate data-driven insights and recommendations effectively.

Skills

SAS programming

SQL

Data visualization

Problem-solving

Education

Bachelor's degree in quantitative analytical discipline

Tools

QlikView

Power BI

Tableau

Job description

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Location: Dublin, London, Northampton, or Belfast

Office Policy: Hybrid

What is the role

This role is positioned within the Model Data Team in Risk Analytics as a Senior Quantitative Analyst.

InRisk Analytics, we developand 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

• Source, extract, and integrate large datasets from internal and external systems for use in credit risk models (e.g., PD, LGD, EAD) and stress‑testing frameworks. Ensure data quality through rigorous validation, cleansing, and reconciliation processes to ensure accuracy and reliability.
• Continuously review and update data models to reflect changes in Risk Analytics processes, new model solutions, and evolving business requirements. Recommend and implement process improvements to enhance the efficiency and reliability of data workflows.
• Proactively identify and elevate data issues. Contribute to the continuous improvement of the bank’s data.
• Operate as a data subject matter expert, collaborating with the Model Development, Validation, and Monitoring teams; as well as IT and business stakeholders to align data solutions with strategic objectives. Ensure data requirements are clearly communicated and understood.
• Design and implement automated processes to streamline data preparation and reporting. Maintain comprehensive data documentation and lineage to support transparency and auditability.
• Clearly communicate data‑driven findings, risks, and recommendations to both technical and non‑technical stakeholders.

Credit risk is a dynamic, ever‑evolving field and working for Risk Analytics will place you at the vanguard of quantitative risk analysis, regularly implementing the latest published methodologies and creating bespoke in‑house solutions to challenging problems, as part of an experienced team where you will receive support and training to help you reach your potential.

As an analyst working in Risk Analytics for a pillar bank in Ireland, your work will make a tangible impact on the stability and performance of AIB and the wider financial system.

What you will bring

• 3 years’ experience in either a model development, validation or monitoring role; or in a data role with exposure to models. Examples include: IRB, IFRS9, loss forecasting, stress testing or economic capital modelling, propensity modelling, or a combination thereof.
• 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.).
• Ideally have advanced level of SAS or SQL programming – an equivalent level in an alternate programming language would be considered (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes.
• Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau.
• 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.

A Reminder of 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.

Some of our benefits include;

• Variable Pay
• Employee Assistance Programme
• Family leave options

Please clickherefor further information about AIB’s PACT – Our Commitment to You.

As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below

Please note that the capabilities will only be asked at interview stage.

• Ensures Accountability
• Develops & Empowers
• 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 Hiring Manager,Matthew Edwardsfor a conversation. If you require any support with the Recruitment process, please contact the recruiter,Nicole Pasquetti.