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Quantitative Risk Analyst -Stress Testing Development Team

Date: 07-Jun-2019

Location: Dublin, IE, IE

Company: Allied Irish Bank

Role: Quantitative Risk Analyst  - Stress Testing Development Team

Location: Ballsbridge


The Stress Testing and Economic Capital team develops credit models used for multi-year financial planning, monitoring resilience to downturns in the economic environment (i.e. stress testing), and supporting the Bank’s capital planning (i.e. ECAP modelling and RAROC analysis).


We’re looking for someone who:

  • Can Develop of econometric models (e.g. simulation techniques such as monte carlo, time-series and panel regression, extreme event analysis) for economic capital or stress testing purposes;
  • Use model outputs to drive business planning/pricing, and engaging with business representatives to understand and deliver quantitative modelling support as required;
  • Responds to technical queries from internal stakeholders and external bodies such as the Central Bank of Ireland or the Single Supervisory Mechanism;
  • Assists with the execution of projects including EBA stress tests or the production of internal financial reports such as the ICAAP.


Who we are?

The Risk Analytics Department is a central function within AIB with the remit to develop strong credit risk measurement and decision-support throughout every aspect of our businesses and control functions. The outputs from Risk Analytics deliver optimal pricing for our customers, quick and convenient decisions, a safe lending and borrowing environment, and efficient use of our shareholders’ capital with sustainable returns.


Why join us?

As an advanced analytics team, we are passionate about driving insight and value from data. The team works across a spectrum of activities including data mining, visual analytics, time series modelling, regression modelling, machine learning, and pattern recognition. We value innovation and creativity and this role presents a great opportunity for any analyst who has the capability to approach a business problem in an innovative way, identify and build a great solution, and communicate the outputs of that work across the business.


You will need to show us that you can/have:

  • A bachelor’s degree (2.1 or higher) in a quantitative analytical discipline such as mathematics, applied mathematics, physics, statistics, engineering, econometrics;
  • 2+ years’ experience developing financial models such as for stress testing, economic capital, IRB, IFRS9, etc.;
  • Knowledge of SAS for statistical/econometric modelling purposes (or equivalent alternate programming language).
  • Knowledge of European regulatory and/or accounting standards in respect of at least one of IRB, IFRS 9, loss forecasting, stress testing and/or economic capital modelling would be advantageous.
  • Knowledge of relationship between planning, stress testing, recovery planning, and economic capital would be advantageous (i.e. the loss distribution).


What’s next?

If you meet the minimum criteria and would be interested in this exciting opportunity please click apply and complete the online application. If you require further information on this role contact Rachelle Steen from the Talent Acquisition Team, email

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