At a Glance
- Tasks: Develop predictive models and analyse data to drive insights in risk management.
- Company: AIB, a leading bank committed to diversity and collaboration.
- Benefits: Hybrid work model, competitive pension, healthcare, and volunteer days.
- Other info: Exciting career growth opportunities in a supportive environment.
- Why this job: Join a dynamic team and make a real impact on risk analytics.
- Qualifications: Pursuing a 2.1 or higher in a quantitative discipline; SQL experience preferred.
The predicted salary is between 30000 - 40000 € per year.
At AIB, our values guide how we work and how we support each other. We're looking for someone who puts Customer First, takes initiative and Owns the Outcome, and is always looking for ways to Eliminate Complexity. You'll treat colleagues and customers with fairness and Show Respect, and you'll thrive in a culture built on collaboration where we Be One Team to deliver meaningful impact.
Location/Office Policy: Dublin (Molesworth Street / Central Park), Belfast, Northampton, London. Hybrid (3 days per week in the office)
Are you passionate about driving insight and value from data? Would you like to become a member of professional quantitative analysts with the remit to develop strong credit risk measurement and decision-support throughout every aspect of our businesses and control functions? Are you on track to achieve a 2.1 or higher in a bachelor's degree and/or master's degree in a quantitative analytical discipline? Are you due to graduate in 2026?
What is the Role: This role is positioned within the Risk Analytics Team as a Junior Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Risk Analytics is part of the Risk Function, this is an independent, second line of defence function that monitors, controls, and supports risk-taking activities across AIB. The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB's risk profile. 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.
Key accountabilities:
- Develop behavioural, portfolio and predictive models aligned with IFRS 9, IRB and stress testing standards, including PD, LGD and EAD.
- Deliver point-in-time loss provisioning analysis and long-term through-the-cycle economic capital analysis.
- Produce macroeconomic scenario forecasting, stress testing and long-term studies on Climate Change impacts on credit risk and sustainability.
- Estimate risk-based loan pricing.
- Perform segmentation, risk segmentation and model calibration activities.
- Contribute to the definition and maintenance of modelling standards and methodologies.
- Extract, transform, cleanse and analyse data, including complex, exploratory and ad-hoc analysis to generate business insights and recommendations.
What you will Bring:
- On track to achieve a 2.1 or higher in a bachelor's degree and/or master's degree in a quantitative analytical discipline e.g. mathematics, applied mathematics, financial mathematics, physics, statistics, engineering, econometrics, actuarial science.
- Have experience with SQL programming - an understanding of alternate programming languages would be beneficial (e.g. R, Python, Matlab).
- Curiosity and inventiveness.
- Can show problem solving skills with capability to defend their decisions from challenge.
- Due to graduate in 2026.
What We Offer: 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
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.
Application deadline: 3 June 2026. To be considered for this role you will be redirected to and must complete the application process on our careers page.
Junior Quantitative Risk Analyst in Newtownabbey employer: AIB NI
At AIB, we foster a collaborative and inclusive work culture that prioritises employee well-being and professional growth. Our hybrid working model allows for flexibility, while our commitment to diversity and community engagement ensures that every team member feels valued and empowered. With competitive benefits such as a market-leading pension scheme and healthcare options, AIB is an excellent employer for those looking to make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Quantitative Risk Analyst in Newtownabbey
✨Tip Number 1
Network like a pro! Reach out to current employees at AIB on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Junior Quantitative Risk Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for interviews by brushing up on your SQL skills and understanding risk modelling concepts. We recommend doing mock interviews with friends or using online platforms to practice common questions related to quantitative analysis. Confidence is key!
✨Tip Number 3
Show your passion for data! During interviews, share specific examples of projects or coursework where you’ve used data analysis to solve problems. This will demonstrate your curiosity and inventiveness, which are crucial for this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining AIB and ready to take the initiative. Good luck!
We think you need these skills to ace Junior Quantitative Risk Analyst in Newtownabbey
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! Talk about any projects or experiences that sparked your interest in quantitative analysis. We want to see that you’re genuinely excited about the role and how you can contribute to our team.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this specific role. Highlight relevant skills like SQL programming and any experience with statistical modelling. We love seeing how your background aligns with what we do at AIB, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:Don’t forget to apply through our careers page! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our company culture there. We can’t wait to hear from you!
How to prepare for a job interview at AIB NI
✨Know Your Numbers
As a Junior Quantitative Risk Analyst, you'll be dealing with data and models. Brush up on your quantitative skills and be ready to discuss relevant concepts like PD, LGD, and EAD. Familiarise yourself with IFRS 9 standards and be prepared to explain how you would apply these in real-world scenarios.
✨Show Your Programming Prowess
Since SQL programming is a must-have, make sure you can talk about your experience confidently. If you've dabbled in R, Python, or Matlab, mention specific projects where you used these languages. Be ready to tackle a coding challenge or discuss how you would approach data analysis tasks.
✨Emphasise Collaboration
AIB values teamwork, so highlight any experiences where you've worked effectively in a team setting. Share examples of how you’ve collaborated to solve complex problems or eliminate inefficiencies. This will show that you embody the 'Be One Team' spirit they’re looking for.
✨Demonstrate Curiosity and Problem-Solving Skills
Prepare to discuss times when your curiosity led you to discover insights from data. AIB wants someone who can defend their decisions, so think of examples where you faced challenges and how you approached problem-solving. This will showcase your inventiveness and analytical mindset.
