Location: Dublin 2
Other locations: Primary Location Only
Salary:Competitive
Requisition ID: 1728890
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Your Key Responsibilities:
You’ll spend most of your time in assisting clients to identify, measure, and manage their business and reporting risks as they transit their organizations in response to changing government environmental regulations and new trends in sustainability management and reporting. You enjoy actively contributing to the growth and development of the CCaSS practice by taking operational responsibility and accountability for engagement team support and delivery.
Skills and Attributes for Success
- Intellectual curiosity.
- Strong problem-solving skills.
- Strong communication skills, verbal, written but also active listening.
- Solution orientated including models and accelerators.
- Proven experience acting as an AI enabler, helping translate emerging AI capabilities into practical, scalable solutions within a regulated environment.
- Background in Risk and Regulatory functions, with a strong understanding of compliance, governance, and control frameworks.
- Experience working within or alongside central banks, regulators, or related institutions (e.g., WAM or similar financial/monetary authorities), with insight into supervisory expectations and policy-driven environments.
To qualify for the role, you must have:
- Track record of success from 2-4 years of relevant experience in sustainability / ESG at a blue-chip firm, sustainability consultancy, investment firm or other relevant organisation.
- ACA or ACCA (or equivalent) qualification.
- A keen interest in, and understanding of ESG as it relates to financial services (banking, wealth and asset management, insurance, and/or private equity).
- A strong understanding of any, or a combination of the topics that we cover in our team as listed above.
- Risk management and modelling experience.
- Strong academic record including a relevant degree.
- Experience running or contributing to a range of projects.