We are looking for a Part / Nearly Qualified Actuary to join a reinsurance company’s Actuarial Operations function. This role is based in Dublin and follows a hybrid work model.
About the Part / Nearly Qualified Actuary role
To support business growth, we are recruiting a Part / Nearly Qualified Actuary for the Actuarial Operations function. This function is responsible for the ongoing administration of a growing portfolio of traditional and bespoke reinsurance transactions—predominantly Longevity Swaps and International Structured transactions.
Duties for this role include (but are not limited to):
Treaty Management & Client Engagement – Develop a deep understanding of the reinsurance portfolio, review treaty requirements, monitor adherence to obligations, and contribute to client discussions on treaty amendments. Build strong relationships with internal and external stakeholders. Reporting, Settlements & Data Analysis – Review and analyze client reports, ensure transaction settlements and collateral movements are processed correctly, and verify client data for actuarial reporting. Monitor transaction performance and provide insights to senior management. Process Improvement & Automation – Contribute to process automation, control enhancements, and office transformation projects. Design and implement model improvements, governance frameworks, and efficiency initiatives to enhance operational effectiveness. Project & Professional Development – Support actuarial project planning and implementation while staying informed on industry developments and best practices through collaboration, professional engagement, and independent research.
Skills and Experience required:
This position would suit a Part / Nearly Qualified Actuary who is looking to join a leading reinsurance company. Candidates must have ideally have experience of the following:
An actuarial qualification or a university degree progressing towards an actuarial qualification, with at least three years of experience in an insurance or reinsurance environment Strong problem-solving and independent decision-making skills, with the confidence to act autonomously when required Experience working with data management software and modern programming languages (, R, SQL, Python, VBA) as well as data visualization tools (, Power BI)
