At a Glance
- Tasks: Lead the development of credit risk models and engage with stakeholders across the bank.
- Company: AIB, a leading bank in Ireland committed to collaboration and customer focus.
- Benefits: Hybrid working model, market-leading pension, healthcare scheme, and volunteer days.
- Other info: Join a diverse team with excellent career growth opportunities.
- Why this job: Make a tangible impact on financial stability while developing your analytical skills.
- Qualifications: 3 years in model development and a degree in a quantitative discipline.
The predicted salary is between 55000 - 65000 € 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, Belfast, London, Northampton - Hybrid (3 days in office, 2 days remote)
Are you a problem solver, organised, proactive, pragmatic and an excellent team player? Are you seeking an opportunity to develop and grow your professional value in a dynamic Model Development Team?
What is the role
This role is positioned within the IFRS9 Team in Risk Analytics as a Senior 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
- Leading the development of macroeconomic models, or components thereof, for the estimation of credit risk parameters for use in the calculation of ECL. This includes but is not limited to: Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models.
- Engagement with stakeholders across the Bank to ensure the models appropriately capture the risk dynamics within the portfolio.
- Contributing to the standards, methodologies and toolsets required to perform analytic activities.
- Design of model methodology and automation of model development processes.
- The extraction and cleansing of data, statistical analysis to support model specification, segmentation, and factor selection, as well as the estimation and back-testing of models in support of same.
- Engaging with customer facing Business teams to understand how our analytic outputs can support their decision making.
Credit risk is a dynamic, ever-evolving field and working for Risk Analytics will place you at the vanguard of quantitative risk analysis, regularly implementing the latest published methodologies and creating bespoke in-house solutions to challenging problems, as part of an experienced team where you will receive support and training to help you reach your potential. As an analyst working in Risk Analytics for a pillar bank in Ireland, your work will make a tangible impact on the stability and performance of AIB and the wider financial system.
What you will bring
- 3 years' experience in a model monitoring, model development or model validation role. Examples include: IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof.
- A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics.
- Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be considered (e.g. R, Python, Matlab).
- Advanced experience in extracting, transforming, and cleaning data for modelling purposes.
- Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau.
- Strong ability to build relationships and communicate with key stakeholders; Curiosity and inventiveness.
- Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front.
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.
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.
Senior Quantitative Risk Analyst, Risk Analytics employer: AIB NI
At AIB, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. With a strong commitment to professional development, our hybrid working model offers flexibility while ensuring meaningful engagement with colleagues and customers. Join us in Dublin, Belfast, London, or Northampton, where you can make a tangible impact in the dynamic field of quantitative risk analysis, supported by a market-leading benefits package and a focus on employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Risk Analyst, Risk Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees at AIB on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Quantitative Risk Analyst role. Personal connections can give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves model development and risk analysis, be ready to discuss your experience with SAS, SQL, or any other relevant programming languages. Show us how you've tackled complex problems in the past!
✨Tip Number 3
Don’t forget to showcase your soft skills! AIB values collaboration and respect, so think of examples where you've worked well in a team or resolved conflicts. We want to see how you embody those values in your work.
✨Tip Number 4
Finally, 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 next step in your career with us.
We think you need these skills to ace Senior Quantitative Risk Analyst, Risk Analytics
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how your values align with ours at AIB, so don’t hold back on sharing why you’re excited about the opportunity to work in Risk Analytics.
Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience in model development and quantitative analysis. We love seeing specific examples of your work, especially those that demonstrate your problem-solving skills and ability to collaborate with teams.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your key achievements stand out. This will help us quickly see how you can contribute to our team!
Apply Through Our Website:Don’t forget to apply through our careers page! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate, so go ahead and get started!
How to prepare for a job interview at AIB NI
✨Know Your Models Inside Out
As a Senior Quantitative Risk Analyst, you'll be expected to have a solid grasp of credit risk models like PD, LGD, and EAD. Brush up on your knowledge of these models and be ready to discuss how you've applied them in previous roles. This will show that you not only understand the theory but can also implement it practically.
✨Showcase Your Data Skills
Make sure to highlight your experience with data extraction, transformation, and cleaning. Be prepared to discuss specific tools you've used, such as SAS or SQL, and how you've leveraged them to support model development. This will demonstrate your technical prowess and ability to handle complex datasets.
✨Engage with Stakeholders
AIB values collaboration, so be ready to talk about how you've worked with different teams in the past. Share examples of how you've communicated complex analytical outputs to non-technical stakeholders, ensuring they understand the implications for decision-making. This shows you're not just a number cruncher but a team player.
✨Embrace Curiosity and Problem Solving
During the interview, express your curiosity about the evolving field of credit risk and your eagerness to tackle challenging problems. Share instances where you've had to think outside the box to develop innovative solutions. This aligns perfectly with AIB's value of taking initiative and owning outcomes.
