Quantitative Risk Analyst, Belfast or Northampton

Date: 17 Feb 2025

Location: Belfast or Northhampton, GB, GB

Company: Allied Irish Bank

Location/Office Policy:  92 Ann St, Belfast OR Northampton / Hybrid

 

  • Can you undertake a range of analytic work and develop specialist skills within the team?
  • Can you Support business processes and continually make developments that benefit the wider business?
  • Do you hold a 2:1 Degree or higher in a quantitative discipline?

 

What is the Role:

 

Risk Analytics operates within the Risk Management function and undertakes quantitative modelling and analysis. The team is responsible for a number of functions such as the development and monitoring of credit risk models, along with providing insight into customer and portfolio trends to inform business decisions.  Technologies used in the department include SAS and Teradata SQL.

 

Key accountabilities.

 

  • Data Gathering and Analysis : Extract and transform internal and external data to enable data aggregation, default definition, and model investigations. Leverage data analysis to deliver insight on key model and portfolio trends.
  • Credit Risk Modelling: The Risk Analytics team is responsible for a wide range of activities including the development and monitoring of credit models, credit stress testing and other analytic activities.  The successful candidate will undertake a range of analytic work and develop specialist skills within the team. 
  • Collaboration & Stakeholder engagement: Collaborate effectively with others, including UK Finance and Risk functions, to ensure quality delivery to stretching timelines. Engage with UK and Group stakeholders to ensure resolution of model related issues.
  • Reporting: Support business processes and continually make developments that benefit the wider business. Engage with external stakeholders to ensure resolution of model related issues.

 

 

What you Will Bring ;

 

  1. Minimum 2.1 degree from a Mathematics / Statistics / Physics / Economics or related quantitative subject
  2. Masters/PhD qualification in a quantitative subject or 2 or more years’ experience within an analytic team
  3. Experience working with data, analysing and making recommendations.
  4. High level of computer literacy, including experience using statistical software, ideally SAS and SQL

 

 

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;

 

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

 

 

Please click here for further information about AIB’s PACT – Our Commitment to You.

 

 

Key Capabilities

 

  • Ensures Accountability
  • Collaborates
  • Instills Trust

 

Technical Capabilities:

  • Data Analysis
  • Numerical Competence
  • Technical Communication / Presentation

 

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 careers@aib.ie  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 careers@aib.ie

 

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. 

 

Application deadline : Monday 3rd March 2025

#LI-DNI


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