Social network you want to login/join with:
col-narrow-left
Client:
Allied Irish Bank
Location:
Dublin, Ireland
Job Category:
Other
-
EU work permit required:
Yes
col-narrow-right
Job Reference:
155380000603
Job Views:
3
Posted:
25.07.2025
Expiry Date:
08.09.2025
col-wide
Job Description:
Location/Office Policy: Molesworth Street, Dublin / London / Belfast / Hybrid (2 days a week in the office, moving to 3 days in office from Jan 2026)
* Can you aid building predictive models that are focussed on impacting core business elements?
* Do you have demonstrable problem-solving skills with capability to defend your decisions from challenge?
* Do you have an academic background in quantitative analytical discipline?
What is the Role:
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.
The role is positioned within theRisk Analyticsteam, specifically working on the estimation of expected credit loss.
Key Accountabilities.
* Developing and maintaining analytical IFRS9 credit risk models (PD, LGD etc).
* Developing our library of procedures, the outputs of which are used for financial reporting and regulatory templates.
* Developing expertise in Expected Credit Loss, which is a key driver of P&L and an important input for loan pricing.
* Deriving insights from model outputs to deliver on AIB's strategic priorities.
* Engaging with stakeholders in Retail, Capital Markets, Finance and Credit to understand how the models can support the Bank’s decision making.
* Supporting model inspections and model-related requests from internal and external review bodies.
What You Will Bring.
* A bachelor’s degree in a quantitative analytical discipline (2.1 or higher). Confirmation will be sought if successful for the role.
* 2 or more years of experience with SAS or SQL programming.
* Ability to make data-driven decisions and defend these decisions from challenge
This role is suitable for someone with strong professional data analysis experience, who will enjoy the challenge of working with both business and technical teams in the Bank, who has achieved a Distinction in an analytical Master’s programme and who is interested in pursuing a model development career working in financial services. Previous professional model development experience is not a strict requirement for the role, but in this case the candidate will need to evidence their interest in, and aptitude for, quantitative analysis. The successful candidate will be committed to excellence, passionate about data science and will have an appetite for learning.
Why Work for AIB :
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;
* Variable Pay
* Employee Assistance Programme
* Family leave options
Please clickherefor further information about AIB’s PACT – Our Commitment to You.
Key Capabilities
* Ensures Accountability
* Eliminates Complexity
* Data Analysis
If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Conor Kearney, at [emailprotected] for a conversation.
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 are committed to providing reasonable accommodations for applicants and employees. Should you have a reasonable accommodation request please email the Talent Acquisition team at [emailprotected]
Disclaimer:
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.
#J-18808-Ljbffr