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- Tasks: Join our Model Data Team to analyse and improve risk models using big data.
- Company: AIB, a leading pillar bank in Ireland with a strong commitment to risk management.
- Benefits: Enjoy a hybrid work model, competitive pension, healthcare, and volunteer days.
- Why this job: Make a real impact on financial stability while working with cutting-edge analytics.
- Qualifications: 3 years in quantitative analysis or data roles; degree in a quantitative field required.
- Other info: Collaborative environment with opportunities for growth and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
This role is positioned within the Model Data Team in Risk Analytics as a Senior Quantitative 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, which 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.
- 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:
- Market leading Pension Scheme
- Healthcare Scheme
- Variable Pay
- Employee Assistance Programme
- Family leave options
- Two volunteer days per year
Please click here for 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
- Collaborates
- Develops & Empowers
- Data Analysis
- Risk Modelling & Scenario Analysis
- Statistical Modelling
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 Edwards for a conversation. If you require any support with the Recruitment process, please contact the recruiter Nicole Pasquetti.
Application deadline: 5th January 2026
Senior Quantitative Analyst, Model Data Team, Model Solutions employer: AIB
Contact Detail:
AIB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst, Model Data Team, Model Solutions
✨Tip Number 1
Network like a pro! Reach out to current employees at AIB or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those tricky technical questions! Brush up on your knowledge of risk models and data analysis techniques. Practise explaining complex concepts in simple terms, as you’ll need to communicate with both technical and non-technical stakeholders.
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss past challenges you've faced in data roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining AIB and being part of the team.
We think you need these skills to ace Senior Quantitative Analyst, Model Data Team, Model Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Quantitative Analyst role. Highlight your experience with data models, risk analytics, and any relevant programming skills like SAS or SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk analytics and how your skills can contribute to our Model Data Team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex data issues or improved processes. We’re all about curiosity and inventiveness, so let us know how you’ve used these traits in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at AIB
✨Know Your Data Inside Out
As a Senior Quantitative Analyst, you'll be dealing with large datasets. Make sure you understand the data sources, how to extract and clean them, and the importance of data quality. Brush up on your SAS or SQL skills, as well as any other programming languages mentioned in the job description.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in data analysis or risk modelling. Think about how you can defend your decisions and methodologies, as this role requires strong analytical thinking and the ability to communicate effectively with both technical and non-technical stakeholders.
✨Familiarise Yourself with Risk Analytics
Dive into the world of risk analytics before your interview. Understand the key concepts like PD, LGD, EAD, and stress-testing frameworks. Being able to speak knowledgeably about these topics will show that you're not just qualified but genuinely interested in the field.
✨Prepare for Behavioural Questions
The interview will likely include behavioural questions that assess your collaboration and accountability. Think of situations where you've worked in teams, empowered others, or taken responsibility for outcomes. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
