AI Risk Analyst

The Central Bank of Ireland serves the public interest by safeguarding monetary and financial stability and by working to ensure that the financial system operates in the best interests of consumers and the wider economy.Are you interested in applying your analytical skills so that the use of AI has a positive societal impact? Would you like to gain hands-on experience contributing to how to evaluate AI so that its potential benefits can be realised safely within the Irish financial system? We are seeking curious and public interest focused professionals to join our teams to develop further our approaches for evaluating AI system risks.We currently have vacancies for AI Risk Analysts in the Risk Analytics, Data & Supervisory Technology Division.This role is aligned with the Bank Professional 3 grade and the BP3 salary scale. New entrants to the Central Bank will commence on Point 1 of the relevant salary scale. in this case, the starting salary will be €63,566.00. Please click here for further information on our salary scales.Responsibilities:

• Working with colleagues across the Bank, develop and maintain the Central Bank’s AI Risk Assessment approach.

• Implementing AI evaluation tools, data science, and other applied AI methods to aid risk assessment, support firm/sector-specific projects, and applying statistical methods and experimental design to AI evaluations.
• Support the team in analytical and methodological rigor, while creatively contributing to the design of scalable AI evaluation approaches that can be applied across the financial sector. 

• Provide technical understanding of statistical/machine learning, generative/agentic AI and support the assessment and testing of AI systems and supervisory reviews.

• Work collaboratively within flexible project teams/business areas and with supervisors to achieve the Bank’s supervisory outcomes.

RequirementsEssential

• A minimum of a third level honours degree in AI, Data / Computer Science, Cognitive Science, Statistics, Economics, Psychology, or Mathematics.
• An understanding of/interest in AI safety and the emerging discipline of AI evaluation science.
• A good understanding of/experience in building and evaluating risks in Machine Learning /Generative AI-based models/systems.
• Good Python/ML stack or equivalent understanding.
• Good ability to communicate complex/technical issues for technical and supervisory audiences.
• Acting professionally, ethically, and with integrity.

Preferred

• Some experience using evaluation frameworks or agent evaluation harnesses or a willingness to learn by doing.

• Conference presentations/publications, projects, or open-source contributions (tools, libraries) that illustrate role-relevant capabilities and transferrable skills.

• Familiarity with frontier AI models and open-weight/open-source models including text, multi-modal models.

We welcome candidates with a strong academic background in variety of disciplines (AI, machine learning, data science, or quantitative analysis/social sciences), including those who are in the earlier stages of their career. The successful candidate will collaborate with cross-disciplinary teams working on AI evaluation projects across statistical/machine learning, tabular foundation models, generative AI, and Agentic AI.We're interested in a diverse range of backgrounds. Below are a few example profiles to help you gauge fit. These are not exhaustive, and we'd love to hear from you even if your profile doesn't match these exactly:

• Recent BSc/MSc graduates in AI with project work completed on machine learning, generative, or agentic AI
• Recent MSc graduates in Cognitive Science with work completed on evaluation of AI related to reasoning, contextual understanding, explanation, or other construct-based approaches
• Applied (MSc’s/MA) in quantitative social science researcher with experience in observational or causal inference and an interest in AI evaluation science
• Recent BSc/MSc student in Statistics/Biostatistics/Data Science with project work completed on statistical model performance comparisons and an interest in AI evaluation science

We know it's our people who make the Central Bank special and we are focused on creating a diverse, inclusive, fulfilling and progressive work environment. We encourage applications from candidates with different backgrounds, experiences and perspectives that meet several of the essential and preferred criteria. As evaluation of AI is an emerging science and multi-disciplinary, we have included examples of profiles that may help your application decision. We’re flexible on the example profiles and expect strong candidates may come from related (but not necessarily identical) backgrounds to those profiles.We are committed to positively supporting candidates with disabilities. If we can make any reasonable accommodations for you in the recruitment process in order to give you the opportunity to perform to your best, please let us know. Any information that you provide will be used only for the purposes of providing relevant support and will have no bearing on how your application will be viewed. We operate a hybrid working model to balance the flexibility working from home provides with the value our office environments bring to support collaboration and connection with colleagues. Our approach to hybrid working enables colleagues to work from home up to 50% of working days, building on an existing broad range of flexible working policies and practices already in place to support our people achieve the right balance. Our policies also provide insight into our organisational culture, work environment and working arrangements. Here are some of the key policies (subject to ongoing review and amendment) which may be of interest as you consider a career with us.The Central Bank pension scheme mirrors the rules of the civil service pension scheme. Therefore, if you are in receipt of civil/public service pension, abatement may apply to your current pension. Details of the appropriate pension scheme will be provided upon determination of the appointee’s status.Application Details: Closing Date: 15th June To apply, please complete the application form attached (via the “apply” link). Before starting your application, you will be asked to create a profile with us, this will allow you to track and review your application throughout the process. Click "register" to create a profile and complete the application process.Once your application has been successfully submitted you will receive an automatic email from us acknowledging receipt. If you do not receive this auto-acknowledgement, please contact: recruitment@centralbank.ie Cuirfear fáilte roimh iarratais i nGaeilgeThe Central Bank of Ireland is an equal opportunities employer.