At a Glance
- Tasks: Lead the development of credit risk models and engage with stakeholders across the bank.
- Company: Join AIB, a pillar bank in Ireland committed to collaboration and customer focus.
- Benefits: Enjoy a hybrid work model, competitive pension, healthcare, and volunteer days.
- Other info: Dynamic team environment with opportunities for professional growth and training.
- Why this job: Make a tangible impact on financial stability while growing your analytical skills.
- Qualifications: 3 years in model development and a degree in a quantitative field required.
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. (Confirmation will be sought if successful for the role.)
- 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
Please click here for further information about AIB's PACT - Our Commitment to You.
Capabilities:
As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below:
- Ensures Accountability
- Collaborates
- Develops
Senior Quantitative Risk Analyst, Risk Analytics TLNT1_NI in Belfast employer: AIB NI
AIB is an exceptional employer that prioritises a collaborative and supportive work culture, where employees are encouraged to take initiative and own their outcomes. With a hybrid working model that promotes flexibility, alongside a comprehensive benefits package including a market-leading pension scheme and healthcare options, AIB fosters professional growth and development within a dynamic team environment. As a Senior Quantitative Risk Analyst, you will play a crucial role in shaping the future of risk management while making a meaningful impact on the financial system.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Risk Analyst, Risk Analytics TLNT1_NI in Belfast
✨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 role. It’s all about making those connections!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you’ll be dealing with complex models and data, practice explaining your past projects and how you tackled challenges. Show them you can own the outcome!
✨Tip Number 3
Don’t forget to showcase your teamwork skills! AIB values collaboration, so think of examples where you’ve worked effectively in a team. Be ready to discuss how you’ve contributed to group success.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the AIB team. Let’s get you that job!
We think you need these skills to ace Senior Quantitative Risk Analyst, Risk Analytics TLNT1_NI in Belfast
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for quantitative risk analysis shine through. We want to see how your experience aligns with our values, especially in putting the customer first and owning outcomes.
Tailor Your CV:Make sure your CV is tailored to highlight relevant experience in model development and risk analytics. Use keywords from the job description to show that you understand what we're looking for and how you fit into the team.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on your key achievements and skills that relate to the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic Model Development Team.
How to prepare for a job interview at AIB NI
✨Know Your Models
Make sure you brush up on the latest methodologies in credit risk modelling, especially around Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). Be ready to discuss your experience with model development and validation, as well as any specific projects you've worked on that relate to these areas.
✨Showcase Your Technical Skills
Since this role requires advanced skills in SAS or SQL, be prepared to demonstrate your proficiency. Bring examples of how you've used these tools for data extraction, transformation, and cleaning. If you have experience with other programming languages like R or Python, mention those too!
✨Engage with Stakeholders
AIB values collaboration, so think about how you've successfully engaged with stakeholders in the past. Prepare examples of how you've communicated complex analytical outputs to non-technical teams and how those insights influenced decision-making.
✨Emphasise Problem-Solving Skills
Be ready to discuss specific challenges you've faced in your previous roles and how you approached solving them. Highlight your curiosity and inventiveness, and don't shy away from defending your decisions—show that you can think critically and pragmatically under pressure.
