Quantitative Risk Analyst, Dublin, Belfast, London, Northhampton

Location/Office Policy: Molesworth Street, Dublin / London / Belfast / Northampton with Hybrid Can you aid building predictive models that are focussed on impacting core business elements? Do you have demonstrable problem-solving skills with capability to defend your decisions from challenge? Do you have an academic background in quantitative analytical discipline? What is the Role: 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. The role is positioned within the Risk Analytics team where we developand support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. Key Accountabilities. Analysis and Investigation: Undertake 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 role in building predictive models that are focussed on impacting core business elements, such as capital requirements and loss expectations. Data insights: Perform in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. 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. What You Will Bring. 1.5+ years' direct experience in a quantitative risk or similar discipline is preferred Demonstrable experience with SAS or SQL programming - experience in an alternative programming language would be considered (e.g. R, Python, Matlab). Demonstrable problem-solving skills with capability to defend your decisions from challenge. A bachelor's degree in a quantitative analytical discipline e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.). Ability to perform exploratory and ad-hoc data analysis with a view to generating insights. 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 Key Capabilities Ensures Accountability: Holding self and others accountable to meet commitments. Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Streamline & Simplify: Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. 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. 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. 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. Application deadline : Monday 5th May 2025 #LI-DNI To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.