Senior Quantitative Analyst, Dublin

Date: 27 Jun 2024

Location: Dublin, IE, IE

Company: Allied Irish Bank

Role: Senior Quantitative Analyst 

Location: Molesworth Street, Dublin (Hybrid)


This role is being offered on a permanent, full-time basis.


  • Do you have 3 years experience in a model monitoring, model development or model validation role?
  • Do you have a bachelor’s degree in a quantitative analytical discipline (2.1 or higher)?
  • Are you interested in Engaging with customer facing Business teams to understand how our analytic outputs can support their decision making?


About the Role:

Risk Analytics are a group of professional quantitative analysts, operating within the wider Risk function in AIB, who provide quantitative risk & financial analysis and analytical expertise to business partners to help understand underlying risks in Credit portfolios. This covers a wide range of asset classes between Retail & Non-Retail borrowers, from the smallest personal customer to the largest international banks & governments.


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.


The core activities within the department include but are not limited to:

  • Development of IFRS9 Models to support estimation of Expected Credit Losses. Analysis of the model outputs and support for the Business in understanding same
  • Development of models to support Credit and Climate Stress testing plus the delivery of stress tests, e.g., ICAAP.
  • Development of models to estimate Economic Capital and support for RAROC.
  • Development predictive models and credit strategies to determine customer risk profiles, which are then used to automate credit decisions for the Bank’s customers.
  • Tracking the performance of credit models to ensure they continue to operate as expected.


Key Responsibilities Include:


  • Leading the development of macroeconomic models, or components thereof, for the estimation of credit risk parameters for use in the calculation of ECL. This includes but is not limited to: Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models.
  • Engagement with stakeholders across the Bank to ensure the models appropriately capture the risk dynamics within the portfolio.
  • Contributing to the standards, methodologies and toolsets required to perform analytic activities.
  • Design of model methodology and automation of model development processes.
  • The extraction and cleansing of data, statistical analysis to support model specification, segmentation, and factor selection, as well as the estimation and back-testing of models in support of same.
  • Engaging with customer facing Business teams to understand how our analytic outputs can support their decision making.


What you will bring:

  • 3 years’ experience in a model monitoring, model development or model validation role. Examples include: IRB; IFRS 9; 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 consider (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.



Life at AIB

At AIB, we have a clear purpose - Empowering people to build a sustainable future. We want to be at the heart of our customers’ financial lives by giving them an exceptional experience. That goes for our employees too.  We are building a culture that breaks the conventions of what our customer and employees expect of a bank.

We are committed to offering our colleagues choice and flexibility in how we work and live.  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.  More details on our hybrid working arrangements and expected office attendance for your role will be provided to you during the recruitment process.


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 celebrate diversity and believe in a culture of inclusion where all our employees can succeed. We welcome applications from people of diverse backgrounds and abilities. 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


If you feel you have what it takes, click apply and fill in the online application form. If you would like more information please contact the Talent Acquisition Team at


By when?  Closing date is Thursday 18th July 2024



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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