
Life Actuary - Systems Development (R, Python, C++)
Oliver JamesLocation: Dublin
Working Pattern: Hybrid - 50/50 Office and home
Salary: 75k-85k EUR + bonus (depending on experience, will be confirmed before interview)
I'm looking for a Life Actuary /actuarial professional (qualified or exam stopper) with exceptional IT and systems skills to join a highly capable and innovative team.
The ideal candidate will have an actuarial background combined with strong IT skills and programming languages - R, Python, C++ etc. Any programming language can be considered as the key part is understanding the system development life cycle.
You will work end to end, so a strong understanding of actuarial systems from data gathering to reporting is required.
You will be trusted to provide vital input into automation, maintenance and documentation and be influential in steering exciting transformation projects.
If you are passionate about technology and innovation, this is the role for you.
If you have more experience, or higher salary expectations than this role offers, feel free to reach out as I am happy to have a chat about similar positions that might be of interest.
Please apply today or send your CV to .
Opens the company's application page
Listed via
Reed
reed.co.uk
Similar roles
Design & Tech
Related reads from TCHNX

The Rise of AI-Assisted Coding: Are Developer Tools Becoming Too Smart?
GitHub Copilot and similar AI tools are reshaping how developers write code. But as these assistants grow more capable, questions emerge about code quality, security, and what it means to learn programming.

The Quiet Revolution in Local-First Software
As major platforms face outages and data breaches, a new generation of developers is building applications that prioritise local data storage and peer-to-peer sync, challenging the cloud-first orthodoxy that's dominated tech for two decades.

The Quiet Revolution in Edge AI: Why Your Next Computer Might Not Need the Cloud
As neural processing units become standard in consumer devices, we're witnessing a fundamental shift in how AI applications work. Local processing is no longer a fallback; it's becoming the preferred architecture.
