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Quant Analyst - Model Validation

Ref: 78013

  • 80,000-100,000
  • 29 Sep 2022
  • Dublin (Central)
  • Permanent

Location: Dublin 2 (hybrid working - 2 days per week onsite and the remaining days working from home in Ireland)

Do you want to apply your analytical expertise in a practical setting? Are you interested in how data and analytics can help us to back our customers and ensure the success and stability of the bank?

Summary of Role

The Risk Function is an independent, second line of defence function that monitors, controls and supports risk-taking activities across the company. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on the company’s risk profile.

The Risk Function’s main objective is to ensure the business 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 customer franchise and social responsibility.

The role is positioned within the Model Validation team where we perform independent assessments of the internal rating and risk estimation systems. Qualitative and quantitative analyses are performed to evaluate all the relevant dimensions of a risk model: Data, Design, Performance and Implementation.

We’re Looking for Someone Who

  • Uses statistical techniques and data analytics tools to review and challenge the models being used within the bank
  • Challenges the modelling teams and business areas in the bank to assure and improve the bank’s models
  • Works with business units to promote and deliver a best-in-class analytics service consistent with their needs
  • Actively seeks opportunities to learn from other team members and to grow within the role.

You Will Need to Show Us That You Have

  • Relevant third level qualification or Postgraduate qualification in an analytical discipline, e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics, actuarial science;
  • An interest in applying statistical tools and techniques in a practical setting to help the bank in ensuring models and data driven decisions are robust and can be relied upon
  • A natural inclination to challenge established ways of thinking and an ability to articulate your opinion
  • Knowledge of analytics languages (e.g. SAS, R, SPSS, Matlab or Python) is an advantage.


For a confidential and discreet conversation to understand more about this Technology job, please contact John Howe on +353 1 592 7868 or email