At a Glance
- Tasks: Lead the development of predictive credit risk models and guide junior data scientists.
- Company: AIB is a leading bank in Ireland, committed to innovation and diversity.
- Benefits: Enjoy hybrid working, variable pay, and family leave options.
- Why this job: Join a dynamic team focused on impactful analytics and model development.
- Qualifications: Experience in financial modelling and data analysis is essential.
- Other info: AIB values diversity and offers reasonable accommodations for applicants.
The predicted salary is between 43200 - 72000 £ per year.
Location/Office Policy: St. Marys Axe, Greater London / Hybrid What is the Role: The Risk Analytics Department is a central function within AIB with the remit to develop strong credit and financial risk measurement and decision-support throughout every aspect of our businesses and control functions. The outputs from Risk Analytics deliver optimal pricing for our customers, quick and convenient credit decisions, a safe lending and borrowing environment, and efficient use of our shareholders’ capital with sustainable returns. In addition, the teams regularly carry out ad-hoc analysis and assessments to support the business and any regulatory considerations of the ongoing appropriateness of the models and their outputs. This role is in the IRB (Internal Rating Based Approach) Model Development Team in Risk Analytics. They are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank’s Pillar 1 capital PD, LGD and EAD models. These models are used to determine the level of risk associated with individual borrowers and drive the determination of the Bank’s regulatory capital requirements. The team is currently undertaking a multi-year redevelopment of all IRB models followed by the rollout of new IRB models, which represents a key strategic objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. This role is in Specialised Lending IRB Model Development team and will play a leading role in the re-development of existing and new IRB models for specialised lending under the banks’ IRB rollout plan. You will work alongside teams based in the UK and in Dublin. Key Accountabilities: Analysis & Investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Digital Protection: Access/utilise bank data within the policies and frameworks required by AIB. Predictive Model Development: Take a leading role in building predictive models that are focussed on impact core business elements, such as automated decisioning, capital requirements and loss expectations. Data Insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis, with a view to generating insights and using this to deliver actionable recommendations to the business. Expert Advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements. Risk Segmentation Analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. What You will Bring: Ability to develop models to support business decision making, risk management and estimation of regulatory capital requirements in line with internal development standards and policies. This includes Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models. Performance of exploratory and ad-hoc data analysis to generate meaningful customer or portfolio insights. Contributing to the standards, methodologies and toolsets required to perform analytic activities. Extracting, transforming, and cleaning the data required for modelling and analysis purposes. Engaging with customer facing Business teams to understand how our analytic outputs can support their decision making. 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 Please click here for further information about AIB’s PACT – Our Commitment to You. Key Capabilities: Ensures Accountability: Holding self and others accountable to meet commitments. Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Develops Talent: Developing people to meet both their career goals and the organization’s goals. Data Analysis: Collects, analyses, and interprets data to reach conclusions and/or present insights and findings. Financial/Credit Modelling: Develops financial or statistical models to test hypotheses and understand the potential impacts of risk under various scenarios. Numerical Competence: Demonstrates knowledge of mathematics principles (e.g., statistical analysis and modelling) to complete work and solve problems. If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Talent Acquisition 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. Closing Date: Friday 10th January 2025 #J-18808-Ljbffr
Contact Detail:
Allied Irish Banks Recruiting Team
careers@aib.ie
StudySmarter Expert Advice 🤫
We think this is how you could land IRB Risk Senior Quantitative Analyst, London.
✨Tip Number 1
Familiarise yourself with the Internal Rating Based (IRB) models, particularly Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). Understanding these concepts will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the risk analytics field, especially those who have experience with predictive modelling. Engaging in discussions or attending relevant webinars can provide insights into current trends and challenges in the industry.
✨Tip Number 3
Showcase your analytical skills by preparing examples of past projects where you've developed models or conducted data analysis. Be ready to discuss how your work impacted decision-making processes in previous roles.
✨Tip Number 4
Research AIB's recent initiatives and strategic objectives, particularly regarding their IRB model redevelopment. Being knowledgeable about the company's goals will allow you to tailor your conversations during interviews and show that you're genuinely interested in contributing to their success.
We think you need these skills to ace IRB Risk Senior Quantitative Analyst, London.
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the key accountabilities of the IRB Risk Senior Quantitative Analyst role. Focus on your expertise in predictive model development, data analysis, and risk management.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in this position at AIB. Emphasise your understanding of the IRB model development process and how your background makes you a suitable candidate for the role.
Showcase Your Analytical Skills: In your application, provide specific examples of past projects where you developed financial or statistical models. Highlight your ability to analyse complex data and generate actionable insights, as these are crucial for the role.
Highlight Leadership Experience: If you have experience mentoring or guiding junior team members, make sure to include this in your application. AIB values collaboration and talent development, so showcasing your leadership skills will strengthen your application.
How to prepare for a job interview at Allied Irish Banks
✨Understand the Role and Responsibilities
Before the interview, make sure you thoroughly understand the key accountabilities of the IRB Risk Senior Quantitative Analyst position. Familiarise yourself with predictive model development, risk segmentation analysis, and the importance of regulatory capital requirements.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and modelling. Highlight specific projects where you've developed Probability of Default (PD), Loss Given Default (LGD), or Exposure at Default (EAD) models, and how they impacted business decisions.
✨Demonstrate Leadership and Mentoring Experience
Since this role involves guiding junior data scientists, share examples of how you've mentored others in the past. Discuss your approach to leadership and how you ensure accountability within a team setting.
✨Prepare for Technical Questions
Expect technical questions related to financial and credit modelling. Brush up on your knowledge of statistical analysis and be ready to explain complex concepts in a clear and concise manner, as this will demonstrate your expertise and communication skills.