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- Tasks: Analyze data and develop credit risk models to inform business decisions.
- Company: Join Allied Irish Bank, a leader in financial services with a commitment to diversity.
- Benefits: Enjoy hybrid work options, variable pay, and family leave benefits.
- Why this job: Gain valuable experience in analytics while collaborating with diverse teams in a supportive environment.
- Qualifications: Must have a 2.1 degree in a quantitative field; experience with SAS and SQL is a plus.
- Other info: AIB values diversity and offers accommodations for applicants.
The predicted salary is between 28800 - 48000 £ per year.
Quantitative Risk Analyst, Belfast or Northampton
Location: Belfast or Northampton, GB
Company: Allied Irish Bank
Location/Office Policy: 92 Ann St, Belfast OR Northampton / Hybrid
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:
- Minimum 2.1 degree from a Mathematics / Statistics / Physics / Economics or related quantitative subject.
- Masters/PhD qualification in a quantitative subject or 2 or more years’ experience within an analytic team.
- Experience working with data, analysing and making recommendations.
- 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:
- Variable Pay
- Employee Assistance Programme
- Family leave options
Key Capabilities:
- Ensures Accountability
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 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
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Quantitative Risk Analyst, Belfast or Northampton employer: Allied Irish Banks
Contact Detail:
Allied Irish Banks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst, Belfast or Northampton
✨Tip Number 1
Familiarize yourself with SAS and Teradata SQL, as these are key technologies used in the Risk Analytics team. Consider taking online courses or tutorials to enhance your skills in these areas, which will make you a more attractive candidate.
✨Tip Number 2
Engage with professionals in the field of quantitative risk analysis through networking events or online platforms like LinkedIn. This can provide you with valuable insights into the role and may even lead to referrals.
✨Tip Number 3
Stay updated on the latest trends and developments in credit risk modeling and data analysis. Reading industry publications or joining relevant forums can help you demonstrate your knowledge during interviews.
✨Tip Number 4
Prepare for potential case studies or technical assessments that may be part of the interview process. Practicing how to analyze data and present your findings clearly will showcase your analytical skills effectively.
We think you need these skills to ace Quantitative Risk Analyst, Belfast or Northampton
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Quantitative Risk Analyst position. Highlight your relevant experience in data analysis, credit risk modeling, and collaboration with stakeholders.
Tailor Your CV: Customize your CV to reflect your qualifications in Mathematics, Statistics, or related fields. Emphasize your experience with SAS and SQL, as well as any relevant projects or roles that demonstrate your analytical skills.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the key accountabilities of the role. Discuss your passion for risk analytics and how your skills can contribute to the team’s success at Allied Irish Bank.
Highlight Technical Skills: In your application, make sure to highlight your technical capabilities, especially in data analysis and numerical competence. Provide examples of how you've used statistical software in previous roles to support your claims.
How to prepare for a job interview at Allied Irish Banks
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and quantitative modeling. Highlight specific projects where you used SAS or SQL to derive insights, as this will demonstrate your technical capabilities.
✨Understand Credit Risk Concepts
Familiarize yourself with credit risk modeling and stress testing methodologies. Being able to articulate these concepts during the interview will show that you have a solid understanding of the role's key responsibilities.
✨Emphasize Collaboration Experience
Since the role involves working with various stakeholders, share examples of how you've successfully collaborated with teams in the past. This could include cross-departmental projects or instances where you resolved model-related issues.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the Risk Analytics team and their current projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
