Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton

AIB (NI)
Belfast, Northern Ireland
Last month
Applications closed

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Senior Quantitative Risk Analyst - Risk Analytics, Level 3

Location: Dublin, Belfast, Northampton, London (Hybrid Working)


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, an independent, second line of defence that monitors, controls, and supports risk‑taking activities across AIB. The function provides advice, guidance and independent oversight to ensure risks are taken within the appetite set by the Board, supporting AIB’s customer franchise and social responsibility.


Key Accountabilities

  • Analysis & investigation: Undertake and guide junior data scientists in complex data analyses, investigations and modelling of business issues to improve the bank’s services and products.
  • Predictive model development: Lead building of predictive models focused on core business elements such as automated decision‑making, capital requirements and loss expectations.
  • Data insights: Perform and guide junior data scientists in exploratory and ad‑hoc data analysis to generate actionable recommendations for the business.
  • Expert advice: Provide specialist advice on the impact and application of risk management requirements.
  • Risk segmentation analysis: Create segmentations that allow better understanding of risks in the lending portfolio and identify ways to manage those risks.
  • Leadership: Mentor and review the work of junior data scientists.
  • Digital protection: Access and utilise bank data within the policies and frameworks required by AIB.

What you Will Bring

  • Minimum 3 years of experience in a model monitoring, development or validation role (e.g., IRB, IFRS 9, loss forecasting, stress testing, economic capital modelling, propensity modelling).
  • Bachelor’s degree in a quantitative analytical discipline (2.1 or higher) such as mathematics, applied mathematics, physics, statistics, engineering or econometrics.
  • Advanced SAS or SQL programming skills (or equivalent in R, Python, Matlab) with advanced experience in extracting, transforming and cleaning data for modelling.
  • Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau.
  • Experience writing technical documents that meet internal and regulatory standards, and engaging with regulatory or audit bodies.
  • Strong relationship‑building and communication skills; curiosity and inventiveness.
  • Good problem‑solving skills with the ability to defend decisions technically and business‑wise.

What We Offer

  • Market‑leading Pension Scheme
  • Healthcare Scheme
  • Variable Pay
  • Employee Assistance Programme
  • Family leave options
  • Two volunteer days per year

Behaviours and Technical Capabilities

  • Ensures Accountability
  • Collaborates
  • Develops & Empowers
  • Data Analysis
  • Risk Modelling & Scenario Analysis
  • Statistical Modelling

Application deadline: 1st April 2026. To be considered for this role you must complete the application process via our careers page.


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